Live Found logdir. Deleting previous model Estimating enzyme shift in input file Current estimated shift: +4/-5 awk -v OFS="\t" '{if ($6=="+"){print $1,$2+0,$3,$4,$5,$6} else if ($6=="-") {print $1,$2,$3+1,$4,$5,$6}}' | sort -k1,1 | bedtools genomecov -bg -5 -i stdin -g /oak/stanford/groups/akundaje/soumyak/refs/hg38/GRCh38_EBV.chrom.sizes.tsv | LC_COLLATE="C" sort -k1,1 -k2,2n Making BedGraph (Filter chromosomes not in reference fasta) Making Bigwig non zero bigwig entries in the given chromosome: 38897 evaluating hyperparameters on the following chromosomes ['chr1', 'chr2', 'chr3', 'chr5', 'chr6', 'chr8', 'chr9', 'chr10', 'chr13', 'chr14', 'chr16', 'chr17', 'chr18', 'chr19', 'chr20', 'chr21', 'chrX', 'chr22', 'chr7'] Number of peaks input: 52387 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 52387 Number of peaks input: 12049 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 12049 Number of non peaks input: 104774 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 104774 Number of non peaks input: 12049 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 12049 Number of peaks after removing outliers: 52379 Number of nonpeaks after removing outliers: 27414 WARNING: you are training on low-read depth data got the model Model: "functional_1" __________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ================================================================================================== sequence (InputLayer) [(None, 2114, 4)] 0 [] bpnet_1st_conv (Conv1D) (None, 2094, 128) 10880 ['sequence[0][0]'] bpnet_1conv (Conv1D) (None, 2090, 128) 49280 ['bpnet_1st_conv[0][0]'] bpnet_1crop (Cropping1D) (None, 2090, 128) 0 ['bpnet_1st_conv[0][0]'] add (Add) (None, 2090, 128) 0 ['bpnet_1conv[0][0]', 'bpnet_1crop[0][0]'] bpnet_2conv (Conv1D) (None, 2082, 128) 49280 ['add[0][0]'] bpnet_2crop (Cropping1D) (None, 2082, 128) 0 ['add[0][0]'] add_1 (Add) (None, 2082, 128) 0 ['bpnet_2conv[0][0]', 'bpnet_2crop[0][0]'] bpnet_3conv (Conv1D) (None, 2066, 128) 49280 ['add_1[0][0]'] bpnet_3crop (Cropping1D) (None, 2066, 128) 0 ['add_1[0][0]'] add_2 (Add) (None, 2066, 128) 0 ['bpnet_3conv[0][0]', 'bpnet_3crop[0][0]'] bpnet_4conv (Conv1D) (None, 2034, 128) 49280 ['add_2[0][0]'] bpnet_4crop (Cropping1D) (None, 2034, 128) 0 ['add_2[0][0]'] add_3 (Add) (None, 2034, 128) 0 ['bpnet_4conv[0][0]', 'bpnet_4crop[0][0]'] prof_out_precrop (Conv1D) (None, 1960, 1) 9601 ['add_3[0][0]'] logits_profile_predictions_pre (None, 1000, 1) 0 ['prof_out_precrop[0][0]'] flatten (Cropping1D) gap (GlobalAveragePooling1D) (None, 128) 0 ['add_3[0][0]'] logits_profile_predictions (Fl (None, 1000) 0 ['logits_profile_predictions_pref atten) latten[0][0]'] logcount_predictions (Dense) (None, 1) 129 ['gap[0][0]'] ================================================================================================== Total params: 217,730 Trainable params: 217,730 Non-trainable params: 0 __________________________________________________________________________________________________ Predicting within adjust counts 1/857 [..............................] - ETA: 33:24 12/857 [..............................] - ETA: 4s  22/857 [..............................] - ETA: 4s 33/857 [>.............................] - ETA: 4s 44/857 [>.............................] - ETA: 4s 55/857 [>.............................] - ETA: 3s 65/857 [=>............................] - ETA: 3s 73/857 [=>............................] - ETA: 4s 80/857 [=>............................] - ETA: 4s 83/857 [=>............................] - ETA: 4s 94/857 [==>...........................] - ETA: 4s 105/857 [==>...........................] - ETA: 4s 116/857 [===>..........................] - ETA: 4s 127/857 [===>..........................] - 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[=========================>....] - ETA: 0s 772/857 [==========================>...] - ETA: 0s 783/857 [==========================>...] - ETA: 0s 794/857 [==========================>...] - ETA: 0s 805/857 [===========================>..] - ETA: 0s 816/857 [===========================>..] - ETA: 0s 827/857 [===========================>..] - ETA: 0s 837/857 [============================>.] - ETA: 0s 848/857 [============================>.] - ETA: 0s 857/857 [==============================] - ETA: 0s 857/857 [==============================] - 7s 5ms/step got the model loading peaks... got split:test for bed regions:(12049, 10) 0/189 100/189 Bias model pearsonr performance in peaks is: -0.0 {'counts_loss_weight': '1.0', 'filters': '512', 'n_dil_layers': '8', 'bias_model_path': '/oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/ameen_2022/K562_bias/ameen_2022.EPC/fold_2/models/bias_model_scaled.h5', 'inputlen': '2114', 'outputlen': '1000', 'max_jitter': '500', 'chr_fold_path': '/oak/stanford/groups/akundaje/soumyak/refs/hg38/splits/fold_2.json', 'negative_sampling_ratio': '0.1'} got the model loading peaks... got split:train for bed regions:(47827, 10) loading nonpeaks... got split:train for bed regions:(24856, 10) loading peaks... got split:valid for bed regions:(4552, 10) loading nonpeaks... got split:valid for bed regions:(2558, 10) Epoch 1/50 1/823 [..............................] - ETA: 1:03:34 - loss: 57.9630 - logits_profile_predictions_loss: 56.5014 - logcount_predictions_loss: 1.4616 2/823 [..............................] - ETA: 2:02 - loss: 769.3008 - logits_profile_predictions_loss: 56.1384 - logcount_predictions_loss: 713.1625 3/823 [..............................] - ETA: 2:01 - loss: 533.6385 - logits_profile_predictions_loss: 57.8586 - logcount_predictions_loss: 475.7799 4/823 [..............................] - ETA: 2:01 - loss: 421.1267 - logits_profile_predictions_loss: 63.5597 - logcount_predictions_loss: 357.5670 5/823 [..............................] - ETA: 2:01 - loss: 349.5877 - logits_profile_predictions_loss: 63.1211 - logcount_predictions_loss: 286.4666 6/823 [..............................] - ETA: 2:01 - loss: 301.2649 - logits_profile_predictions_loss: 62.2187 - logcount_predictions_loss: 239.0463 7/823 [..............................] - ETA: 2:01 - loss: 267.7818 - logits_profile_predictions_loss: 62.5290 - logcount_predictions_loss: 205.2528 8/823 [..............................] - ETA: 2:01 - loss: 241.8266 - logits_profile_predictions_loss: 61.9768 - logcount_predictions_loss: 179.8498 9/823 [..............................] - ETA: 2:00 - loss: 222.7488 - logits_profile_predictions_loss: 62.5885 - logcount_predictions_loss: 160.1603 10/823 [..............................] - ETA: 2:00 - loss: 207.4928 - logits_profile_predictions_loss: 63.0943 - logcount_predictions_loss: 144.3985 11/823 [..............................] - ETA: 2:00 - loss: 194.1726 - logits_profile_predictions_loss: 62.7097 - logcount_predictions_loss: 131.4628 12/823 [..............................] - ETA: 2:00 - loss: 183.4595 - logits_profile_predictions_loss: 62.7594 - logcount_predictions_loss: 120.7002 13/823 [..............................] - ETA: 2:00 - loss: 174.6316 - logits_profile_predictions_loss: 63.0173 - logcount_predictions_loss: 111.6143 14/823 [..............................] - ETA: 2:00 - loss: 166.8136 - logits_profile_predictions_loss: 63.0146 - logcount_predictions_loss: 103.7991 15/823 [..............................] - ETA: 1:59 - loss: 160.2171 - logits_profile_predictions_loss: 63.1762 - logcount_predictions_loss: 97.0409  16/823 [..............................] - ETA: 1:59 - loss: 153.2702 - logits_profile_predictions_loss: 62.1979 - logcount_predictions_loss: 91.0723 17/823 [..............................] - ETA: 1:59 - loss: 147.7654 - logits_profile_predictions_loss: 61.9303 - logcount_predictions_loss: 85.8351 18/823 [..............................] - ETA: 1:59 - loss: 143.3038 - logits_profile_predictions_loss: 62.1012 - logcount_predictions_loss: 81.2026 19/823 [..............................] - ETA: 1:59 - loss: 139.2454 - logits_profile_predictions_loss: 62.1942 - logcount_predictions_loss: 77.0512 20/823 [..............................] - ETA: 1:59 - loss: 136.2135 - logits_profile_predictions_loss: 62.8619 - logcount_predictions_loss: 73.3516 21/823 [..............................] - ETA: 1:59 - loss: 132.3241 - logits_profile_predictions_loss: 62.3751 - logcount_predictions_loss: 69.9490 22/823 [..............................] - ETA: 1:58 - loss: 128.6446 - logits_profile_predictions_loss: 61.7983 - logcount_predictions_loss: 66.8463 23/823 [..............................] - ETA: 1:58 - loss: 126.0930 - logits_profile_predictions_loss: 62.0410 - logcount_predictions_loss: 64.0520 24/823 [..............................] - ETA: 1:58 - loss: 123.5450 - logits_profile_predictions_loss: 62.0684 - logcount_predictions_loss: 61.4765 25/823 [..............................] - ETA: 1:58 - loss: 121.3748 - logits_profile_predictions_loss: 62.2622 - logcount_predictions_loss: 59.1125 26/823 [..............................] - ETA: 1:58 - loss: 118.9244 - logits_profile_predictions_loss: 62.0055 - logcount_predictions_loss: 56.9189 27/823 [..............................] - ETA: 1:58 - loss: 117.0016 - logits_profile_predictions_loss: 62.0957 - logcount_predictions_loss: 54.9059 28/823 [>.............................] - ETA: 1:58 - loss: 114.8659 - logits_profile_predictions_loss: 61.8467 - logcount_predictions_loss: 53.0192 29/823 [>.............................] - ETA: 1:57 - loss: 113.1374 - logits_profile_predictions_loss: 61.8690 - logcount_predictions_loss: 51.2684 30/823 [>.............................] - ETA: 1:57 - loss: 111.4369 - logits_profile_predictions_loss: 61.8043 - logcount_predictions_loss: 49.6326 31/823 [>.............................] - ETA: 1:57 - loss: 109.9613 - logits_profile_predictions_loss: 61.8527 - logcount_predictions_loss: 48.1087 32/823 [>.............................] - ETA: 1:57 - loss: 108.3386 - logits_profile_predictions_loss: 61.6715 - logcount_predictions_loss: 46.6671 33/823 [>.............................] - ETA: 1:57 - loss: 106.8158 - logits_profile_predictions_loss: 61.4990 - logcount_predictions_loss: 45.3168 34/823 [>.............................] - ETA: 1:57 - loss: 105.3182 - logits_profile_predictions_loss: 61.2772 - logcount_predictions_loss: 44.0411 35/823 [>.............................] - ETA: 1:57 - loss: 103.8426 - logits_profile_predictions_loss: 61.0066 - logcount_predictions_loss: 42.8360 36/823 [>.............................] - ETA: 1:56 - loss: 102.2459 - logits_profile_predictions_loss: 60.5602 - logcount_predictions_loss: 41.6857 37/823 [>.............................] - ETA: 1:56 - loss: 100.8219 - logits_profile_predictions_loss: 60.2193 - logcount_predictions_loss: 40.6026 38/823 [>.............................] - ETA: 1:56 - loss: 100.1233 - logits_profile_predictions_loss: 60.5152 - logcount_predictions_loss: 39.6081 39/823 [>.............................] - ETA: 1:56 - loss: 99.0855 - logits_profile_predictions_loss: 60.4370 - logcount_predictions_loss: 38.6485  40/823 [>.............................] - ETA: 1:56 - loss: 97.9162 - logits_profile_predictions_loss: 60.1930 - logcount_predictions_loss: 37.7232 41/823 [>.............................] - ETA: 1:56 - loss: 96.7659 - logits_profile_predictions_loss: 59.9223 - logcount_predictions_loss: 36.8437 42/823 [>.............................] - ETA: 1:56 - loss: 96.0810 - logits_profile_predictions_loss: 60.0546 - logcount_predictions_loss: 36.0264 43/823 [>.............................] - ETA: 1:55 - loss: 95.0368 - logits_profile_predictions_loss: 59.8082 - logcount_predictions_loss: 35.2286 44/823 [>.............................] - ETA: 1:55 - loss: 94.0001 - logits_profile_predictions_loss: 59.5344 - logcount_predictions_loss: 34.4657 45/823 [>.............................] - ETA: 1:55 - loss: 93.3903 - logits_profile_predictions_loss: 59.6330 - logcount_predictions_loss: 33.7573 46/823 [>.............................] - ETA: 1:55 - loss: 92.5639 - logits_profile_predictions_loss: 59.4980 - logcount_predictions_loss: 33.0659 47/823 [>.............................] - ETA: 1:55 - loss: 92.0820 - logits_profile_predictions_loss: 59.6653 - logcount_predictions_loss: 32.4166 48/823 [>.............................] - ETA: 1:55 - loss: 91.5261 - logits_profile_predictions_loss: 59.7361 - logcount_predictions_loss: 31.7900 49/823 [>.............................] - ETA: 1:54 - loss: 90.9052 - logits_profile_predictions_loss: 59.7220 - logcount_predictions_loss: 31.1831 50/823 [>.............................] - ETA: 1:54 - loss: 90.1879 - logits_profile_predictions_loss: 59.5893 - logcount_predictions_loss: 30.5986 51/823 [>.............................] - ETA: 1:54 - loss: 89.6314 - logits_profile_predictions_loss: 59.5869 - logcount_predictions_loss: 30.0446 52/823 [>.............................] - ETA: 1:54 - loss: 89.2075 - logits_profile_predictions_loss: 59.6945 - logcount_predictions_loss: 29.5129 53/823 [>.............................] - ETA: 1:54 - loss: 88.7513 - logits_profile_predictions_loss: 59.7494 - logcount_predictions_loss: 29.0018 54/823 [>.............................] - ETA: 1:54 - loss: 88.3064 - logits_profile_predictions_loss: 59.7954 - logcount_predictions_loss: 28.5109 55/823 [=>............................] - ETA: 1:54 - loss: 87.7353 - logits_profile_predictions_loss: 59.7096 - logcount_predictions_loss: 28.0257 56/823 [=>............................] - ETA: 1:53 - loss: 87.2366 - logits_profile_predictions_loss: 59.6735 - logcount_predictions_loss: 27.5631 57/823 [=>............................] - ETA: 1:53 - loss: 86.9199 - logits_profile_predictions_loss: 59.7958 - logcount_predictions_loss: 27.1241 58/823 [=>............................] - ETA: 1:53 - loss: 86.4523 - logits_profile_predictions_loss: 59.7620 - logcount_predictions_loss: 26.6903 59/823 [=>............................] - ETA: 1:53 - loss: 86.1165 - logits_profile_predictions_loss: 59.8361 - logcount_predictions_loss: 26.2803 60/823 [=>............................] - ETA: 1:53 - loss: 85.7064 - logits_profile_predictions_loss: 59.8273 - logcount_predictions_loss: 25.8791 61/823 [=>............................] - ETA: 1:53 - loss: 85.1702 - logits_profile_predictions_loss: 59.6871 - logcount_predictions_loss: 25.4831 62/823 [=>............................] - ETA: 1:53 - loss: 84.9275 - logits_profile_predictions_loss: 59.8141 - logcount_predictions_loss: 25.1133 63/823 [=>............................] - ETA: 1:52 - loss: 84.4986 - logits_profile_predictions_loss: 59.7510 - logcount_predictions_loss: 24.7476 64/823 [=>............................] - ETA: 1:52 - loss: 84.0362 - logits_profile_predictions_loss: 59.6466 - logcount_predictions_loss: 24.3896 65/823 [=>............................] - ETA: 1:52 - loss: 83.5450 - logits_profile_predictions_loss: 59.5057 - logcount_predictions_loss: 24.0394 66/823 [=>............................] - ETA: 1:52 - loss: 83.4313 - logits_profile_predictions_loss: 59.7117 - logcount_predictions_loss: 23.7196 67/823 [=>............................] - ETA: 1:52 - loss: 83.1806 - logits_profile_predictions_loss: 59.7794 - logcount_predictions_loss: 23.4013 68/823 [=>............................] - ETA: 1:52 - loss: 82.8407 - logits_profile_predictions_loss: 59.7531 - logcount_predictions_loss: 23.0876 69/823 [=>............................] - ETA: 1:52 - loss: 82.7417 - logits_profile_predictions_loss: 59.9470 - logcount_predictions_loss: 22.7947 70/823 [=>............................] - ETA: 1:51 - loss: 82.3642 - logits_profile_predictions_loss: 59.8701 - logcount_predictions_loss: 22.4941 71/823 [=>............................] - ETA: 1:51 - loss: 82.2217 - logits_profile_predictions_loss: 60.0088 - logcount_predictions_loss: 22.2129 72/823 [=>............................] - ETA: 1:51 - loss: 82.1798 - logits_profile_predictions_loss: 60.2348 - logcount_predictions_loss: 21.9450 73/823 [=>............................] - ETA: 1:51 - loss: 81.8118 - logits_profile_predictions_loss: 60.1430 - logcount_predictions_loss: 21.6688 74/823 [=>............................] - ETA: 1:51 - loss: 81.4348 - logits_profile_predictions_loss: 60.0361 - logcount_predictions_loss: 21.3988 75/823 [=>............................] - ETA: 1:51 - loss: 81.1897 - logits_profile_predictions_loss: 60.0477 - logcount_predictions_loss: 21.1420 76/823 [=>............................] - ETA: 1:50 - loss: 80.9463 - logits_profile_predictions_loss: 60.0557 - logcount_predictions_loss: 20.8906 77/823 [=>............................] - ETA: 1:50 - loss: 80.7315 - logits_profile_predictions_loss: 60.0840 - logcount_predictions_loss: 20.6475 78/823 [=>............................] - ETA: 1:50 - loss: 80.4334 - logits_profile_predictions_loss: 60.0267 - logcount_predictions_loss: 20.4068 79/823 [=>............................] - ETA: 1:50 - loss: 80.2347 - logits_profile_predictions_loss: 60.0593 - logcount_predictions_loss: 20.1754 80/823 [=>............................] - ETA: 1:50 - loss: 79.9969 - logits_profile_predictions_loss: 60.0462 - logcount_predictions_loss: 19.9507 81/823 [=>............................] - ETA: 1:50 - loss: 79.6701 - logits_profile_predictions_loss: 59.9443 - logcount_predictions_loss: 19.7257 82/823 [=>............................] - ETA: 1:50 - loss: 79.2740 - logits_profile_predictions_loss: 59.7709 - logcount_predictions_loss: 19.5032 83/823 [==>...........................] - ETA: 1:49 - loss: 79.0477 - logits_profile_predictions_loss: 59.7555 - logcount_predictions_loss: 19.2922 84/823 [==>...........................] - ETA: 1:49 - loss: 78.7731 - logits_profile_predictions_loss: 59.6891 - logcount_predictions_loss: 19.0840 85/823 [==>...........................] - ETA: 1:49 - loss: 78.5482 - logits_profile_predictions_loss: 59.6671 - logcount_predictions_loss: 18.8811 86/823 [==>...........................] - ETA: 1:49 - loss: 78.2368 - logits_profile_predictions_loss: 59.5578 - logcount_predictions_loss: 18.6790 87/823 [==>...........................] - ETA: 1:49 - loss: 78.1325 - logits_profile_predictions_loss: 59.6402 - logcount_predictions_loss: 18.4923 88/823 [==>...........................] - ETA: 1:49 - loss: 78.0539 - logits_profile_predictions_loss: 59.7443 - logcount_predictions_loss: 18.3096 89/823 [==>...........................] - ETA: 1:49 - loss: 77.8159 - logits_profile_predictions_loss: 59.6913 - logcount_predictions_loss: 18.1246 90/823 [==>...........................] - ETA: 1:48 - loss: 77.6014 - logits_profile_predictions_loss: 59.6568 - logcount_predictions_loss: 17.9446 91/823 [==>...........................] - ETA: 1:48 - loss: 77.4000 - logits_profile_predictions_loss: 59.6317 - logcount_predictions_loss: 17.7683 92/823 [==>...........................] - ETA: 1:48 - loss: 77.2787 - logits_profile_predictions_loss: 59.6809 - logcount_predictions_loss: 17.5978 93/823 [==>...........................] - ETA: 1:48 - loss: 77.0917 - logits_profile_predictions_loss: 59.6633 - logcount_predictions_loss: 17.4285 94/823 [==>...........................] - ETA: 1:48 - loss: 76.8175 - logits_profile_predictions_loss: 59.5592 - logcount_predictions_loss: 17.2583 95/823 [==>...........................] - ETA: 1:48 - loss: 76.6243 - logits_profile_predictions_loss: 59.5293 - logcount_predictions_loss: 17.0951 96/823 [==>...........................] - ETA: 1:48 - loss: 76.3687 - logits_profile_predictions_loss: 59.4364 - logcount_predictions_loss: 16.9324 97/823 [==>...........................] - ETA: 1:47 - loss: 76.1769 - logits_profile_predictions_loss: 59.4022 - logcount_predictions_loss: 16.7747 98/823 [==>...........................] - ETA: 1:47 - loss: 76.0658 - logits_profile_predictions_loss: 59.4424 - logcount_predictions_loss: 16.6235 99/823 [==>...........................] - ETA: 1:47 - loss: 75.7996 - logits_profile_predictions_loss: 59.3304 - logcount_predictions_loss: 16.4692 100/823 [==>...........................] - ETA: 1:47 - loss: 75.6562 - logits_profile_predictions_loss: 59.3344 - logcount_predictions_loss: 16.3219 101/823 [==>...........................] - ETA: 1:47 - loss: 75.6106 - logits_profile_predictions_loss: 59.4307 - logcount_predictions_loss: 16.1799 102/823 [==>...........................] - ETA: 1:47 - loss: 75.4642 - logits_profile_predictions_loss: 59.4280 - logcount_predictions_loss: 16.0361 103/823 [==>...........................] - ETA: 1:46 - loss: 75.3072 - logits_profile_predictions_loss: 59.4119 - logcount_predictions_loss: 15.8953 104/823 [==>...........................] - ETA: 1:46 - loss: 75.1941 - logits_profile_predictions_loss: 59.4366 - logcount_predictions_loss: 15.7576 105/823 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logcount_predictions_loss: 2.6511 810/823 [============================>.] - ETA: 1s - loss: 60.2145 - logits_profile_predictions_loss: 57.5661 - logcount_predictions_loss: 2.6485 811/823 [============================>.] - ETA: 1s - loss: 60.2059 - logits_profile_predictions_loss: 57.5601 - logcount_predictions_loss: 2.6458 812/823 [============================>.] - ETA: 1s - loss: 60.1952 - logits_profile_predictions_loss: 57.5521 - logcount_predictions_loss: 2.6431 813/823 [============================>.] - ETA: 1s - loss: 60.1690 - logits_profile_predictions_loss: 57.5283 - logcount_predictions_loss: 2.6407 814/823 [============================>.] - ETA: 1s - loss: 60.1612 - logits_profile_predictions_loss: 57.5229 - logcount_predictions_loss: 2.6382 815/823 [============================>.] - ETA: 1s - loss: 60.1710 - logits_profile_predictions_loss: 57.5353 - logcount_predictions_loss: 2.6357 816/823 [============================>.] - ETA: 1s - loss: 60.1520 - logits_profile_predictions_loss: 57.5190 - logcount_predictions_loss: 2.6330 817/823 [============================>.] - ETA: 0s - loss: 60.1501 - logits_profile_predictions_loss: 57.5194 - logcount_predictions_loss: 2.6307 818/823 [============================>.] - ETA: 0s - loss: 60.1323 - logits_profile_predictions_loss: 57.5042 - logcount_predictions_loss: 2.6281 819/823 [============================>.] - ETA: 0s - loss: 60.1190 - logits_profile_predictions_loss: 57.4934 - logcount_predictions_loss: 2.6256 820/823 [============================>.] - ETA: 0s - loss: 60.0974 - logits_profile_predictions_loss: 57.4744 - logcount_predictions_loss: 2.6231 821/823 [============================>.] - ETA: 0s - loss: 60.0808 - logits_profile_predictions_loss: 57.4605 - logcount_predictions_loss: 2.6204 822/823 [============================>.] - ETA: 0s - loss: 60.0762 - logits_profile_predictions_loss: 57.4585 - logcount_predictions_loss: 2.6178 823/823 [==============================] - ETA: 0s - loss: 60.0617 - logits_profile_predictions_loss: 57.4465 - logcount_predictions_loss: 2.6151 Epoch 1: val_loss improved from inf to 61.06767, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/ameen_2022/K562_bias/ameen_2022.EPC/fold_2/models/chrombpnet.h5  823/823 [==============================] - 139s 163ms/step - loss: 60.0617 - logits_profile_predictions_loss: 57.4465 - logcount_predictions_loss: 2.6151 - val_loss: 61.0677 - val_logits_profile_predictions_loss: 60.6020 - val_logcount_predictions_loss: 0.4657 Epoch 2/50 1/823 [..............................] - ETA: 2:13 - loss: 61.5079 - logits_profile_predictions_loss: 60.9353 - logcount_predictions_loss: 0.5725 2/823 [..............................] - ETA: 2:02 - loss: 60.0072 - logits_profile_predictions_loss: 59.5353 - logcount_predictions_loss: 0.4719 3/823 [..............................] - ETA: 2:01 - loss: 58.3030 - logits_profile_predictions_loss: 57.8495 - logcount_predictions_loss: 0.4536 4/823 [..............................] - ETA: 2:01 - loss: 59.1272 - logits_profile_predictions_loss: 58.6763 - logcount_predictions_loss: 0.4509 5/823 [..............................] - ETA: 2:01 - loss: 57.4761 - logits_profile_predictions_loss: 57.0204 - logcount_predictions_loss: 0.4556 6/823 [..............................] - ETA: 2:01 - loss: 57.5979 - logits_profile_predictions_loss: 57.1243 - logcount_predictions_loss: 0.4736 7/823 [..............................] - ETA: 2:01 - loss: 57.9033 - logits_profile_predictions_loss: 57.4220 - logcount_predictions_loss: 0.4813 8/823 [..............................] - ETA: 2:01 - loss: 57.0256 - logits_profile_predictions_loss: 56.5355 - logcount_predictions_loss: 0.4901 9/823 [..............................] - ETA: 2:00 - loss: 56.4187 - logits_profile_predictions_loss: 55.9334 - logcount_predictions_loss: 0.4853 10/823 [..............................] - ETA: 2:00 - loss: 55.7973 - logits_profile_predictions_loss: 55.3157 - logcount_predictions_loss: 0.4817 11/823 [..............................] - ETA: 2:00 - loss: 56.2740 - logits_profile_predictions_loss: 55.7836 - logcount_predictions_loss: 0.4904 12/823 [..............................] - ETA: 2:00 - loss: 57.3753 - logits_profile_predictions_loss: 56.8900 - logcount_predictions_loss: 0.4852 13/823 [..............................] - ETA: 2:00 - loss: 57.6920 - logits_profile_predictions_loss: 57.2068 - logcount_predictions_loss: 0.4852 14/823 [..............................] - ETA: 2:00 - loss: 57.4510 - logits_profile_predictions_loss: 56.9464 - logcount_predictions_loss: 0.5047 15/823 [..............................] - ETA: 1:59 - loss: 56.9307 - logits_profile_predictions_loss: 56.4136 - logcount_predictions_loss: 0.5171 16/823 [..............................] - ETA: 1:59 - loss: 56.5663 - logits_profile_predictions_loss: 56.0400 - logcount_predictions_loss: 0.5263 17/823 [..............................] - ETA: 1:59 - loss: 56.7725 - logits_profile_predictions_loss: 56.2432 - logcount_predictions_loss: 0.5293 18/823 [..............................] - ETA: 1:59 - loss: 57.1254 - logits_profile_predictions_loss: 56.5912 - logcount_predictions_loss: 0.5342 19/823 [..............................] - ETA: 1:59 - loss: 57.5781 - logits_profile_predictions_loss: 57.0509 - logcount_predictions_loss: 0.5273 20/823 [..............................] - ETA: 1:59 - loss: 57.6137 - logits_profile_predictions_loss: 57.0827 - logcount_predictions_loss: 0.5309 21/823 [..............................] - ETA: 1:59 - loss: 57.3156 - logits_profile_predictions_loss: 56.7877 - logcount_predictions_loss: 0.5279 22/823 [..............................] - ETA: 1:58 - loss: 57.5571 - logits_profile_predictions_loss: 57.0304 - logcount_predictions_loss: 0.5267 23/823 [..............................] - ETA: 1:58 - loss: 57.4234 - logits_profile_predictions_loss: 56.8903 - logcount_predictions_loss: 0.5331 24/823 [..............................] - ETA: 1:58 - loss: 57.0484 - logits_profile_predictions_loss: 56.5191 - logcount_predictions_loss: 0.5293 25/823 [..............................] - ETA: 1:58 - loss: 56.9474 - logits_profile_predictions_loss: 56.4154 - logcount_predictions_loss: 0.5320 26/823 [..............................] - ETA: 1:58 - loss: 57.0629 - logits_profile_predictions_loss: 56.5249 - logcount_predictions_loss: 0.5381 27/823 [..............................] - ETA: 1:58 - loss: 56.8332 - logits_profile_predictions_loss: 56.2997 - logcount_predictions_loss: 0.5335 28/823 [>.............................] - ETA: 1:58 - loss: 56.8749 - logits_profile_predictions_loss: 56.3415 - logcount_predictions_loss: 0.5335 29/823 [>.............................] - ETA: 1:57 - loss: 57.0217 - logits_profile_predictions_loss: 56.4811 - logcount_predictions_loss: 0.5406 30/823 [>.............................] - ETA: 1:57 - loss: 56.8817 - logits_profile_predictions_loss: 56.3394 - logcount_predictions_loss: 0.5423 31/823 [>.............................] - ETA: 1:57 - loss: 56.8582 - logits_profile_predictions_loss: 56.3104 - logcount_predictions_loss: 0.5478 32/823 [>.............................] - ETA: 1:57 - loss: 56.7497 - logits_profile_predictions_loss: 56.1963 - logcount_predictions_loss: 0.5534 33/823 [>.............................] - ETA: 1:57 - loss: 56.7291 - logits_profile_predictions_loss: 56.1771 - logcount_predictions_loss: 0.5521 34/823 [>.............................] - ETA: 1:57 - loss: 56.6333 - logits_profile_predictions_loss: 56.0791 - logcount_predictions_loss: 0.5542 35/823 [>.............................] - ETA: 1:57 - loss: 56.6156 - logits_profile_predictions_loss: 56.0597 - logcount_predictions_loss: 0.5559 36/823 [>.............................] - ETA: 1:56 - loss: 56.8106 - logits_profile_predictions_loss: 56.2498 - logcount_predictions_loss: 0.5608 37/823 [>.............................] - ETA: 1:56 - loss: 56.7830 - 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[>.............................] - ETA: 1:54 - loss: 56.4108 - logits_profile_predictions_loss: 55.8546 - logcount_predictions_loss: 0.5562 52/823 [>.............................] - ETA: 1:54 - loss: 56.2700 - logits_profile_predictions_loss: 55.7168 - logcount_predictions_loss: 0.5532 53/823 [>.............................] - ETA: 1:54 - loss: 56.4284 - logits_profile_predictions_loss: 55.8750 - logcount_predictions_loss: 0.5535 54/823 [>.............................] - ETA: 1:54 - loss: 56.6255 - logits_profile_predictions_loss: 56.0710 - logcount_predictions_loss: 0.5545 55/823 [=>............................] - ETA: 1:54 - loss: 56.6145 - logits_profile_predictions_loss: 56.0594 - logcount_predictions_loss: 0.5551 56/823 [=>............................] - ETA: 1:53 - loss: 56.6246 - logits_profile_predictions_loss: 56.0701 - logcount_predictions_loss: 0.5545 57/823 [=>............................] - ETA: 1:53 - loss: 56.5767 - logits_profile_predictions_loss: 56.0213 - logcount_predictions_loss: 0.5555 58/823 [=>............................] - ETA: 1:53 - loss: 56.7758 - logits_profile_predictions_loss: 56.2206 - logcount_predictions_loss: 0.5552 59/823 [=>............................] - ETA: 1:53 - loss: 56.7584 - logits_profile_predictions_loss: 56.2006 - logcount_predictions_loss: 0.5578 60/823 [=>............................] - ETA: 1:53 - loss: 56.9618 - logits_profile_predictions_loss: 56.4027 - logcount_predictions_loss: 0.5591 61/823 [=>............................] - ETA: 1:53 - loss: 57.0417 - logits_profile_predictions_loss: 56.4809 - logcount_predictions_loss: 0.5608 62/823 [=>............................] - ETA: 1:52 - loss: 56.8877 - logits_profile_predictions_loss: 56.3278 - logcount_predictions_loss: 0.5599 63/823 [=>............................] - ETA: 1:52 - loss: 56.7702 - logits_profile_predictions_loss: 56.2115 - logcount_predictions_loss: 0.5588 64/823 [=>............................] - ETA: 1:52 - loss: 56.6325 - 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[=>............................] - ETA: 1:50 - loss: 56.5875 - logits_profile_predictions_loss: 56.0326 - logcount_predictions_loss: 0.5550 79/823 [=>............................] - ETA: 1:50 - loss: 56.6734 - logits_profile_predictions_loss: 56.1179 - logcount_predictions_loss: 0.5556 80/823 [=>............................] - ETA: 1:50 - loss: 56.5527 - logits_profile_predictions_loss: 55.9989 - logcount_predictions_loss: 0.5538 81/823 [=>............................] - ETA: 1:50 - loss: 56.6264 - logits_profile_predictions_loss: 56.0712 - logcount_predictions_loss: 0.5553 82/823 [=>............................] - ETA: 1:50 - loss: 56.6227 - logits_profile_predictions_loss: 56.0664 - logcount_predictions_loss: 0.5562 83/823 [==>...........................] - ETA: 1:49 - loss: 56.6719 - logits_profile_predictions_loss: 56.1178 - logcount_predictions_loss: 0.5541 84/823 [==>...........................] - ETA: 1:49 - loss: 56.5860 - logits_profile_predictions_loss: 56.0330 - 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[==>...........................] - ETA: 1:46 - loss: 56.3053 - logits_profile_predictions_loss: 55.7548 - logcount_predictions_loss: 0.5505 106/823 [==>...........................] - ETA: 1:46 - loss: 56.3053 - logits_profile_predictions_loss: 55.7554 - logcount_predictions_loss: 0.5499 107/823 [==>...........................] - ETA: 1:46 - loss: 56.3132 - logits_profile_predictions_loss: 55.7641 - logcount_predictions_loss: 0.5491 108/823 [==>...........................] - ETA: 1:46 - loss: 56.3292 - logits_profile_predictions_loss: 55.7813 - logcount_predictions_loss: 0.5480 109/823 [==>...........................] - ETA: 1:45 - loss: 56.3578 - logits_profile_predictions_loss: 55.8111 - logcount_predictions_loss: 0.5467 110/823 [===>..........................] - ETA: 1:45 - loss: 56.2740 - logits_profile_predictions_loss: 55.7284 - logcount_predictions_loss: 0.5456 111/823 [===>..........................] - ETA: 1:45 - loss: 56.3667 - logits_profile_predictions_loss: 55.8217 - 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logcount_predictions_loss: 0.5236 818/823 [============================>.] - ETA: 0s - loss: 57.0720 - logits_profile_predictions_loss: 56.5487 - logcount_predictions_loss: 0.5233 819/823 [============================>.] - ETA: 0s - loss: 57.0741 - logits_profile_predictions_loss: 56.5509 - logcount_predictions_loss: 0.5233 820/823 [============================>.] - ETA: 0s - loss: 57.0890 - logits_profile_predictions_loss: 56.5656 - logcount_predictions_loss: 0.5234 821/823 [============================>.] - ETA: 0s - loss: 57.0910 - logits_profile_predictions_loss: 56.5676 - logcount_predictions_loss: 0.5235 822/823 [============================>.] - ETA: 0s - loss: 57.0897 - logits_profile_predictions_loss: 56.5663 - logcount_predictions_loss: 0.5234 823/823 [==============================] - ETA: 0s - loss: 57.0863 - logits_profile_predictions_loss: 56.5630 - logcount_predictions_loss: 0.5234 Epoch 2: val_loss improved from 61.06767 to 60.15370, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/ameen_2022/K562_bias/ameen_2022.EPC/fold_2/models/chrombpnet.h5  823/823 [==============================] - 133s 161ms/step - loss: 57.0863 - logits_profile_predictions_loss: 56.5630 - logcount_predictions_loss: 0.5234 - val_loss: 60.1537 - val_logits_profile_predictions_loss: 59.7255 - val_logcount_predictions_loss: 0.4282 Epoch 3/50 1/823 [..............................] - ETA: 2:12 - loss: 58.0775 - logits_profile_predictions_loss: 57.7033 - logcount_predictions_loss: 0.3742 2/823 [..............................] - ETA: 2:01 - loss: 58.4562 - logits_profile_predictions_loss: 57.9992 - logcount_predictions_loss: 0.4570 3/823 [..............................] - ETA: 2:01 - loss: 55.8309 - logits_profile_predictions_loss: 55.3842 - logcount_predictions_loss: 0.4467 4/823 [..............................] - ETA: 2:01 - loss: 55.3257 - logits_profile_predictions_loss: 54.8813 - logcount_predictions_loss: 0.4443 5/823 [..............................] - ETA: 2:01 - loss: 54.4563 - logits_profile_predictions_loss: 53.9889 - logcount_predictions_loss: 0.4674 6/823 [..............................] - ETA: 2:01 - loss: 55.7836 - logits_profile_predictions_loss: 55.2858 - logcount_predictions_loss: 0.4978 7/823 [..............................] - ETA: 2:01 - loss: 56.4066 - logits_profile_predictions_loss: 55.9039 - logcount_predictions_loss: 0.5028 8/823 [..............................] - ETA: 2:00 - loss: 56.8755 - logits_profile_predictions_loss: 56.3620 - logcount_predictions_loss: 0.5136 9/823 [..............................] - ETA: 2:00 - loss: 58.2007 - logits_profile_predictions_loss: 57.6915 - logcount_predictions_loss: 0.5092 10/823 [..............................] - ETA: 2:00 - loss: 58.4962 - logits_profile_predictions_loss: 57.9758 - logcount_predictions_loss: 0.5204 11/823 [..............................] - ETA: 2:00 - loss: 57.6718 - logits_profile_predictions_loss: 57.1603 - logcount_predictions_loss: 0.5115 12/823 [..............................] - ETA: 2:00 - loss: 57.4747 - logits_profile_predictions_loss: 56.9625 - logcount_predictions_loss: 0.5123 13/823 [..............................] - ETA: 2:00 - loss: 56.8645 - logits_profile_predictions_loss: 56.3592 - logcount_predictions_loss: 0.5053 14/823 [..............................] - ETA: 2:00 - loss: 55.9542 - logits_profile_predictions_loss: 55.4541 - logcount_predictions_loss: 0.5000 15/823 [..............................] - ETA: 1:59 - loss: 55.8095 - logits_profile_predictions_loss: 55.3169 - logcount_predictions_loss: 0.4926 16/823 [..............................] - ETA: 1:59 - loss: 55.3212 - logits_profile_predictions_loss: 54.8360 - logcount_predictions_loss: 0.4852 17/823 [..............................] - ETA: 1:59 - loss: 54.9508 - logits_profile_predictions_loss: 54.4621 - logcount_predictions_loss: 0.4886 18/823 [..............................] - ETA: 1:59 - loss: 54.8426 - logits_profile_predictions_loss: 54.3517 - logcount_predictions_loss: 0.4909 19/823 [..............................] - ETA: 1:59 - loss: 54.9319 - logits_profile_predictions_loss: 54.4433 - logcount_predictions_loss: 0.4887 20/823 [..............................] - ETA: 1:59 - loss: 54.4928 - logits_profile_predictions_loss: 54.0050 - logcount_predictions_loss: 0.4877 21/823 [..............................] - ETA: 1:59 - loss: 55.0172 - logits_profile_predictions_loss: 54.5335 - logcount_predictions_loss: 0.4838 22/823 [..............................] - ETA: 1:58 - loss: 55.0638 - logits_profile_predictions_loss: 54.5859 - logcount_predictions_loss: 0.4779 23/823 [..............................] - ETA: 1:58 - loss: 54.7612 - logits_profile_predictions_loss: 54.2864 - logcount_predictions_loss: 0.4747 24/823 [..............................] - ETA: 1:58 - loss: 54.8749 - logits_profile_predictions_loss: 54.3963 - logcount_predictions_loss: 0.4786 25/823 [..............................] - ETA: 1:58 - loss: 54.6111 - logits_profile_predictions_loss: 54.1402 - logcount_predictions_loss: 0.4709 26/823 [..............................] - ETA: 1:58 - loss: 54.7450 - logits_profile_predictions_loss: 54.2760 - logcount_predictions_loss: 0.4690 27/823 [..............................] - ETA: 1:58 - loss: 55.0224 - logits_profile_predictions_loss: 54.5497 - logcount_predictions_loss: 0.4728 28/823 [>.............................] - ETA: 1:57 - loss: 54.8426 - logits_profile_predictions_loss: 54.3764 - logcount_predictions_loss: 0.4662 29/823 [>.............................] - ETA: 1:57 - loss: 54.8332 - logits_profile_predictions_loss: 54.3699 - logcount_predictions_loss: 0.4633 30/823 [>.............................] - ETA: 1:57 - loss: 54.9086 - logits_profile_predictions_loss: 54.4442 - logcount_predictions_loss: 0.4644 31/823 [>.............................] - ETA: 1:57 - loss: 54.8988 - logits_profile_predictions_loss: 54.4357 - logcount_predictions_loss: 0.4630 32/823 [>.............................] - ETA: 1:57 - loss: 54.9234 - logits_profile_predictions_loss: 54.4651 - logcount_predictions_loss: 0.4583 33/823 [>.............................] - ETA: 1:57 - loss: 55.2775 - logits_profile_predictions_loss: 54.8192 - logcount_predictions_loss: 0.4583 34/823 [>.............................] - ETA: 1:57 - loss: 55.4532 - logits_profile_predictions_loss: 54.9908 - logcount_predictions_loss: 0.4625 35/823 [>.............................] - ETA: 1:56 - loss: 55.2742 - logits_profile_predictions_loss: 54.8135 - logcount_predictions_loss: 0.4607 36/823 [>.............................] - ETA: 1:56 - loss: 55.0748 - logits_profile_predictions_loss: 54.6154 - logcount_predictions_loss: 0.4594 37/823 [>.............................] - ETA: 1:56 - loss: 54.7787 - logits_profile_predictions_loss: 54.3216 - logcount_predictions_loss: 0.4571 38/823 [>.............................] - ETA: 1:56 - loss: 54.5748 - logits_profile_predictions_loss: 54.1191 - logcount_predictions_loss: 0.4557 39/823 [>.............................] - ETA: 1:56 - loss: 54.4967 - logits_profile_predictions_loss: 54.0423 - logcount_predictions_loss: 0.4544 40/823 [>.............................] - ETA: 1:56 - loss: 54.4646 - logits_profile_predictions_loss: 54.0083 - logcount_predictions_loss: 0.4564 41/823 [>.............................] - ETA: 1:56 - loss: 54.4298 - logits_profile_predictions_loss: 53.9644 - logcount_predictions_loss: 0.4654 42/823 [>.............................] - ETA: 1:55 - loss: 54.3673 - logits_profile_predictions_loss: 53.9000 - logcount_predictions_loss: 0.4672 43/823 [>.............................] - ETA: 1:55 - loss: 54.1147 - logits_profile_predictions_loss: 53.6526 - logcount_predictions_loss: 0.4621 44/823 [>.............................] - ETA: 1:55 - loss: 53.9942 - logits_profile_predictions_loss: 53.5321 - logcount_predictions_loss: 0.4621 45/823 [>.............................] - ETA: 1:55 - loss: 54.3155 - logits_profile_predictions_loss: 53.8517 - logcount_predictions_loss: 0.4638 46/823 [>.............................] - ETA: 1:55 - loss: 54.5286 - logits_profile_predictions_loss: 54.0681 - logcount_predictions_loss: 0.4606 47/823 [>.............................] - ETA: 1:55 - loss: 54.6285 - logits_profile_predictions_loss: 54.1643 - logcount_predictions_loss: 0.4642 48/823 [>.............................] - ETA: 1:54 - loss: 54.4402 - logits_profile_predictions_loss: 53.9701 - logcount_predictions_loss: 0.4700 49/823 [>.............................] - ETA: 1:54 - loss: 54.2375 - logits_profile_predictions_loss: 53.7694 - logcount_predictions_loss: 0.4681 50/823 [>.............................] - ETA: 1:54 - loss: 54.2496 - logits_profile_predictions_loss: 53.7816 - logcount_predictions_loss: 0.4680 51/823 [>.............................] - ETA: 1:54 - loss: 54.2872 - logits_profile_predictions_loss: 53.8144 - logcount_predictions_loss: 0.4728 52/823 [>.............................] - ETA: 1:54 - loss: 54.4842 - logits_profile_predictions_loss: 54.0041 - logcount_predictions_loss: 0.4801 53/823 [>.............................] - ETA: 1:54 - loss: 54.3533 - logits_profile_predictions_loss: 53.8736 - logcount_predictions_loss: 0.4798 54/823 [>.............................] - ETA: 1:54 - loss: 54.3499 - logits_profile_predictions_loss: 53.8675 - logcount_predictions_loss: 0.4824 55/823 [=>............................] - ETA: 1:53 - loss: 54.4715 - logits_profile_predictions_loss: 53.9899 - logcount_predictions_loss: 0.4816 56/823 [=>............................] - ETA: 1:53 - loss: 54.6745 - logits_profile_predictions_loss: 54.1940 - logcount_predictions_loss: 0.4805 57/823 [=>............................] - ETA: 1:53 - loss: 54.7117 - logits_profile_predictions_loss: 54.2279 - logcount_predictions_loss: 0.4838 58/823 [=>............................] - ETA: 1:53 - loss: 54.8067 - logits_profile_predictions_loss: 54.3238 - logcount_predictions_loss: 0.4829 59/823 [=>............................] - ETA: 1:53 - loss: 54.6222 - logits_profile_predictions_loss: 54.1394 - logcount_predictions_loss: 0.4829 60/823 [=>............................] - ETA: 1:53 - loss: 54.5423 - logits_profile_predictions_loss: 54.0590 - logcount_predictions_loss: 0.4833 61/823 [=>............................] - ETA: 1:53 - loss: 54.5475 - logits_profile_predictions_loss: 54.0625 - logcount_predictions_loss: 0.4850 62/823 [=>............................] - ETA: 1:52 - loss: 54.4586 - logits_profile_predictions_loss: 53.9745 - logcount_predictions_loss: 0.4841 63/823 [=>............................] - ETA: 1:52 - loss: 54.5251 - logits_profile_predictions_loss: 54.0429 - logcount_predictions_loss: 0.4822 64/823 [=>............................] - ETA: 1:52 - loss: 54.7224 - logits_profile_predictions_loss: 54.2394 - logcount_predictions_loss: 0.4830 65/823 [=>............................] - ETA: 1:52 - loss: 54.7161 - logits_profile_predictions_loss: 54.2339 - logcount_predictions_loss: 0.4822 66/823 [=>............................] - ETA: 1:52 - loss: 54.6380 - logits_profile_predictions_loss: 54.1544 - logcount_predictions_loss: 0.4836 67/823 [=>............................] - ETA: 1:52 - loss: 54.6507 - logits_profile_predictions_loss: 54.1649 - logcount_predictions_loss: 0.4858 68/823 [=>............................] - ETA: 1:52 - loss: 54.5467 - logits_profile_predictions_loss: 54.0577 - logcount_predictions_loss: 0.4891 69/823 [=>............................] - ETA: 1:51 - loss: 54.4780 - logits_profile_predictions_loss: 53.9892 - logcount_predictions_loss: 0.4888 70/823 [=>............................] - ETA: 1:51 - loss: 54.5632 - logits_profile_predictions_loss: 54.0712 - logcount_predictions_loss: 0.4920 71/823 [=>............................] - ETA: 1:51 - loss: 54.6170 - logits_profile_predictions_loss: 54.1212 - logcount_predictions_loss: 0.4958 72/823 [=>............................] - ETA: 1:51 - loss: 54.6730 - logits_profile_predictions_loss: 54.1744 - logcount_predictions_loss: 0.4986 73/823 [=>............................] - ETA: 1:51 - loss: 54.8192 - logits_profile_predictions_loss: 54.3144 - logcount_predictions_loss: 0.5049 74/823 [=>............................] - ETA: 1:51 - loss: 54.8128 - logits_profile_predictions_loss: 54.3093 - logcount_predictions_loss: 0.5034 75/823 [=>............................] - ETA: 1:51 - loss: 54.7280 - logits_profile_predictions_loss: 54.2252 - logcount_predictions_loss: 0.5029 76/823 [=>............................] - ETA: 1:50 - loss: 54.7022 - logits_profile_predictions_loss: 54.2016 - logcount_predictions_loss: 0.5006 77/823 [=>............................] - ETA: 1:50 - loss: 54.7198 - logits_profile_predictions_loss: 54.2175 - logcount_predictions_loss: 0.5024 78/823 [=>............................] - ETA: 1:50 - loss: 54.7852 - logits_profile_predictions_loss: 54.2849 - logcount_predictions_loss: 0.5003 79/823 [=>............................] - 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[==>...........................] - ETA: 1:49 - loss: 54.8632 - logits_profile_predictions_loss: 54.3674 - logcount_predictions_loss: 0.4958 87/823 [==>...........................] - ETA: 1:49 - loss: 54.8776 - logits_profile_predictions_loss: 54.3833 - logcount_predictions_loss: 0.4943 88/823 [==>...........................] - ETA: 1:49 - loss: 54.8535 - logits_profile_predictions_loss: 54.3610 - logcount_predictions_loss: 0.4925 89/823 [==>...........................] - ETA: 1:48 - loss: 54.9349 - logits_profile_predictions_loss: 54.4426 - logcount_predictions_loss: 0.4923 90/823 [==>...........................] - ETA: 1:48 - loss: 54.9308 - logits_profile_predictions_loss: 54.4393 - logcount_predictions_loss: 0.4914 91/823 [==>...........................] - ETA: 1:48 - loss: 54.9298 - logits_profile_predictions_loss: 54.4375 - logcount_predictions_loss: 0.4923 92/823 [==>...........................] - ETA: 1:48 - loss: 54.9008 - logits_profile_predictions_loss: 54.4091 - logcount_predictions_loss: 0.4917 93/823 [==>...........................] - ETA: 1:48 - loss: 55.0357 - logits_profile_predictions_loss: 54.5441 - logcount_predictions_loss: 0.4916 94/823 [==>...........................] - ETA: 1:48 - loss: 55.0448 - logits_profile_predictions_loss: 54.5540 - logcount_predictions_loss: 0.4909 95/823 [==>...........................] - ETA: 1:48 - loss: 55.0784 - logits_profile_predictions_loss: 54.5884 - logcount_predictions_loss: 0.4900 96/823 [==>...........................] - ETA: 1:47 - loss: 55.1636 - logits_profile_predictions_loss: 54.6739 - logcount_predictions_loss: 0.4897 97/823 [==>...........................] - ETA: 1:47 - loss: 55.1677 - logits_profile_predictions_loss: 54.6777 - logcount_predictions_loss: 0.4900 98/823 [==>...........................] - ETA: 1:47 - loss: 55.1005 - logits_profile_predictions_loss: 54.6109 - logcount_predictions_loss: 0.4896 99/823 [==>...........................] - ETA: 1:47 - loss: 55.0154 - 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[==>...........................] - ETA: 1:46 - loss: 55.0755 - logits_profile_predictions_loss: 54.5858 - logcount_predictions_loss: 0.4897 107/823 [==>...........................] - ETA: 1:46 - loss: 55.1448 - logits_profile_predictions_loss: 54.6551 - logcount_predictions_loss: 0.4897 108/823 [==>...........................] - ETA: 1:46 - loss: 55.1826 - logits_profile_predictions_loss: 54.6936 - logcount_predictions_loss: 0.4891 109/823 [==>...........................] - ETA: 1:45 - loss: 55.2800 - logits_profile_predictions_loss: 54.7911 - logcount_predictions_loss: 0.4889 110/823 [===>..........................] - ETA: 1:45 - loss: 55.3144 - logits_profile_predictions_loss: 54.8243 - logcount_predictions_loss: 0.4901 111/823 [===>..........................] - ETA: 1:45 - loss: 55.3250 - logits_profile_predictions_loss: 54.8352 - logcount_predictions_loss: 0.4898 112/823 [===>..........................] - ETA: 1:45 - loss: 55.3774 - logits_profile_predictions_loss: 54.8882 - logcount_predictions_loss: 0.4893 113/823 [===>..........................] - ETA: 1:45 - loss: 55.3574 - logits_profile_predictions_loss: 54.8687 - logcount_predictions_loss: 0.4887 114/823 [===>..........................] - ETA: 1:45 - loss: 55.3653 - logits_profile_predictions_loss: 54.8769 - logcount_predictions_loss: 0.4884 115/823 [===>..........................] - ETA: 1:45 - loss: 55.4087 - logits_profile_predictions_loss: 54.9211 - logcount_predictions_loss: 0.4877 116/823 [===>..........................] - ETA: 1:44 - loss: 55.4178 - logits_profile_predictions_loss: 54.9302 - logcount_predictions_loss: 0.4876 117/823 [===>..........................] - ETA: 1:44 - loss: 55.3867 - logits_profile_predictions_loss: 54.8995 - logcount_predictions_loss: 0.4873 118/823 [===>..........................] - ETA: 1:44 - loss: 55.4170 - logits_profile_predictions_loss: 54.9307 - logcount_predictions_loss: 0.4862 119/823 [===>..........................] - ETA: 1:44 - loss: 55.4703 - logits_profile_predictions_loss: 54.9835 - logcount_predictions_loss: 0.4868 120/823 [===>..........................] - ETA: 1:44 - loss: 55.5552 - logits_profile_predictions_loss: 55.0675 - logcount_predictions_loss: 0.4877 121/823 [===>..........................] - ETA: 1:44 - loss: 55.5362 - logits_profile_predictions_loss: 55.0485 - logcount_predictions_loss: 0.4877 122/823 [===>..........................] - ETA: 1:44 - loss: 55.4912 - logits_profile_predictions_loss: 55.0046 - logcount_predictions_loss: 0.4866 123/823 [===>..........................] - ETA: 1:43 - loss: 55.5644 - logits_profile_predictions_loss: 55.0772 - logcount_predictions_loss: 0.4872 124/823 [===>..........................] - ETA: 1:43 - loss: 55.6229 - logits_profile_predictions_loss: 55.1361 - logcount_predictions_loss: 0.4868 125/823 [===>..........................] - ETA: 1:43 - loss: 55.5902 - logits_profile_predictions_loss: 55.1026 - logcount_predictions_loss: 0.4876 126/823 [===>..........................] - ETA: 1:43 - loss: 55.6850 - logits_profile_predictions_loss: 55.1979 - logcount_predictions_loss: 0.4872 127/823 [===>..........................] - ETA: 1:43 - loss: 55.7476 - logits_profile_predictions_loss: 55.2604 - logcount_predictions_loss: 0.4872 128/823 [===>..........................] - ETA: 1:43 - loss: 55.7699 - logits_profile_predictions_loss: 55.2823 - logcount_predictions_loss: 0.4875 129/823 [===>..........................] - ETA: 1:42 - loss: 55.7734 - logits_profile_predictions_loss: 55.2850 - logcount_predictions_loss: 0.4884 130/823 [===>..........................] - ETA: 1:42 - loss: 55.7407 - logits_profile_predictions_loss: 55.2527 - logcount_predictions_loss: 0.4880 131/823 [===>..........................] - ETA: 1:42 - loss: 55.7894 - logits_profile_predictions_loss: 55.3014 - logcount_predictions_loss: 0.4880 132/823 [===>..........................] - ETA: 1:42 - loss: 55.8083 - logits_profile_predictions_loss: 55.3191 - 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logcount_predictions_loss: 0.4678 819/823 [============================>.] - ETA: 0s - loss: 56.0343 - logits_profile_predictions_loss: 55.5664 - logcount_predictions_loss: 0.4678 820/823 [============================>.] - ETA: 0s - loss: 56.0171 - logits_profile_predictions_loss: 55.5494 - logcount_predictions_loss: 0.4677 821/823 [============================>.] - ETA: 0s - loss: 56.0231 - logits_profile_predictions_loss: 55.5555 - logcount_predictions_loss: 0.4675 822/823 [============================>.] - ETA: 0s - loss: 56.0278 - logits_profile_predictions_loss: 55.5604 - logcount_predictions_loss: 0.4674 823/823 [==============================] - ETA: 0s - loss: 56.0363 - logits_profile_predictions_loss: 55.5688 - logcount_predictions_loss: 0.4674 Epoch 3: val_loss improved from 60.15370 to 59.73257, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/ameen_2022/K562_bias/ameen_2022.EPC/fold_2/models/chrombpnet.h5  823/823 [==============================] - 133s 162ms/step - loss: 56.0363 - logits_profile_predictions_loss: 55.5688 - logcount_predictions_loss: 0.4674 - val_loss: 59.7326 - val_logits_profile_predictions_loss: 59.3384 - val_logcount_predictions_loss: 0.3942 Epoch 4/50 1/823 [..............................] - ETA: 2:12 - loss: 52.0762 - logits_profile_predictions_loss: 51.6664 - logcount_predictions_loss: 0.4098 2/823 [..............................] - ETA: 2:02 - loss: 54.3728 - logits_profile_predictions_loss: 53.9620 - logcount_predictions_loss: 0.4108 3/823 [..............................] - ETA: 2:01 - loss: 55.5779 - logits_profile_predictions_loss: 55.1536 - logcount_predictions_loss: 0.4243 4/823 [..............................] - ETA: 2:01 - loss: 56.1782 - logits_profile_predictions_loss: 55.7013 - logcount_predictions_loss: 0.4769 5/823 [..............................] - ETA: 2:01 - loss: 57.3046 - logits_profile_predictions_loss: 56.8050 - logcount_predictions_loss: 0.4996 6/823 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logcount_predictions_loss: 0.4455 820/823 [============================>.] - ETA: 0s - loss: 55.6009 - logits_profile_predictions_loss: 55.1557 - logcount_predictions_loss: 0.4452 821/823 [============================>.] - ETA: 0s - loss: 55.6006 - logits_profile_predictions_loss: 55.1554 - logcount_predictions_loss: 0.4452 822/823 [============================>.] - ETA: 0s - loss: 55.6004 - logits_profile_predictions_loss: 55.1552 - logcount_predictions_loss: 0.4452 823/823 [==============================] - ETA: 0s - loss: 55.5972 - logits_profile_predictions_loss: 55.1522 - logcount_predictions_loss: 0.4451 Epoch 4: val_loss improved from 59.73257 to 59.57164, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/ameen_2022/K562_bias/ameen_2022.EPC/fold_2/models/chrombpnet.h5  823/823 [==============================] - 133s 161ms/step - loss: 55.5972 - logits_profile_predictions_loss: 55.1522 - logcount_predictions_loss: 0.4451 - val_loss: 59.5716 - val_logits_profile_predictions_loss: 59.2007 - val_logcount_predictions_loss: 0.3709 Epoch 5/50 1/823 [..............................] - ETA: 2:13 - loss: 60.2679 - logits_profile_predictions_loss: 59.9690 - logcount_predictions_loss: 0.2988 2/823 [..............................] - ETA: 2:01 - loss: 59.8539 - logits_profile_predictions_loss: 59.5172 - logcount_predictions_loss: 0.3367 3/823 [..............................] - ETA: 2:01 - loss: 57.7785 - logits_profile_predictions_loss: 57.4201 - logcount_predictions_loss: 0.3584 4/823 [..............................] - ETA: 2:01 - loss: 56.0277 - logits_profile_predictions_loss: 55.6579 - logcount_predictions_loss: 0.3698 5/823 [..............................] - ETA: 2:01 - loss: 56.3598 - logits_profile_predictions_loss: 55.9747 - logcount_predictions_loss: 0.3851 6/823 [..............................] - ETA: 2:01 - loss: 57.4938 - logits_profile_predictions_loss: 57.0781 - logcount_predictions_loss: 0.4157 7/823 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logcount_predictions_loss: 0.4206 821/823 [============================>.] - ETA: 0s - loss: 55.2899 - logits_profile_predictions_loss: 54.8694 - logcount_predictions_loss: 0.4205 822/823 [============================>.] - ETA: 0s - loss: 55.2921 - logits_profile_predictions_loss: 54.8715 - logcount_predictions_loss: 0.4206 823/823 [==============================] - ETA: 0s - loss: 55.2925 - logits_profile_predictions_loss: 54.8718 - logcount_predictions_loss: 0.4206 Epoch 5: val_loss improved from 59.57164 to 59.47170, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/ameen_2022/K562_bias/ameen_2022.EPC/fold_2/models/chrombpnet.h5  823/823 [==============================] - 133s 162ms/step - loss: 55.2925 - logits_profile_predictions_loss: 54.8718 - logcount_predictions_loss: 0.4206 - val_loss: 59.4717 - val_logits_profile_predictions_loss: 59.1059 - val_logcount_predictions_loss: 0.3658 Epoch 6/50 1/823 [..............................] - ETA: 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[..............................] - ETA: 2:01 - loss: 54.4972 - logits_profile_predictions_loss: 54.0826 - logcount_predictions_loss: 0.4147 9/823 [..............................] - ETA: 2:00 - loss: 54.9996 - logits_profile_predictions_loss: 54.5907 - logcount_predictions_loss: 0.4089 10/823 [..............................] - ETA: 2:00 - loss: 54.1805 - logits_profile_predictions_loss: 53.7749 - logcount_predictions_loss: 0.4056 11/823 [..............................] - ETA: 2:00 - loss: 53.7447 - logits_profile_predictions_loss: 53.3419 - logcount_predictions_loss: 0.4027 12/823 [..............................] - ETA: 2:00 - loss: 53.6153 - logits_profile_predictions_loss: 53.2187 - logcount_predictions_loss: 0.3966 13/823 [..............................] - ETA: 2:00 - loss: 53.9664 - logits_profile_predictions_loss: 53.5621 - logcount_predictions_loss: 0.4043 14/823 [..............................] - ETA: 2:00 - loss: 53.6401 - logits_profile_predictions_loss: 53.2346 - 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[===>..........................] - ETA: 1:44 - loss: 54.6021 - logits_profile_predictions_loss: 54.1557 - logcount_predictions_loss: 0.4464 111/823 [===>..........................] - ETA: 1:44 - loss: 54.5814 - logits_profile_predictions_loss: 54.1355 - logcount_predictions_loss: 0.4459 112/823 [===>..........................] - ETA: 1:44 - loss: 54.6377 - logits_profile_predictions_loss: 54.1921 - logcount_predictions_loss: 0.4456 113/823 [===>..........................] - ETA: 1:44 - loss: 54.6313 - logits_profile_predictions_loss: 54.1864 - logcount_predictions_loss: 0.4449 114/823 [===>..........................] - ETA: 1:44 - loss: 54.6762 - logits_profile_predictions_loss: 54.2320 - logcount_predictions_loss: 0.4443 115/823 [===>..........................] - ETA: 1:44 - loss: 54.6446 - logits_profile_predictions_loss: 54.2009 - logcount_predictions_loss: 0.4437 116/823 [===>..........................] - ETA: 1:44 - loss: 54.6291 - logits_profile_predictions_loss: 54.1863 - 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[=====>........................] - ETA: 1:36 - loss: 55.0017 - logits_profile_predictions_loss: 54.5703 - logcount_predictions_loss: 0.4314 171/823 [=====>........................] - ETA: 1:36 - loss: 55.0016 - logits_profile_predictions_loss: 54.5699 - logcount_predictions_loss: 0.4317 172/823 [=====>........................] - ETA: 1:36 - loss: 54.9994 - logits_profile_predictions_loss: 54.5678 - logcount_predictions_loss: 0.4316 173/823 [=====>........................] - ETA: 1:36 - loss: 55.0061 - logits_profile_predictions_loss: 54.5748 - logcount_predictions_loss: 0.4313 174/823 [=====>........................] - ETA: 1:35 - loss: 55.0370 - logits_profile_predictions_loss: 54.6060 - logcount_predictions_loss: 0.4311 175/823 [=====>........................] - ETA: 1:35 - loss: 54.9946 - logits_profile_predictions_loss: 54.5635 - logcount_predictions_loss: 0.4311 176/823 [=====>........................] - ETA: 1:35 - loss: 54.9726 - logits_profile_predictions_loss: 54.5419 - 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[=====>........................] - ETA: 1:33 - loss: 55.0505 - logits_profile_predictions_loss: 54.6240 - logcount_predictions_loss: 0.4265 191/823 [=====>........................] - ETA: 1:33 - loss: 54.9917 - logits_profile_predictions_loss: 54.5654 - logcount_predictions_loss: 0.4264 192/823 [=====>........................] - ETA: 1:33 - loss: 54.9875 - logits_profile_predictions_loss: 54.5608 - logcount_predictions_loss: 0.4267 193/823 [======>.......................] - ETA: 1:33 - loss: 54.9659 - logits_profile_predictions_loss: 54.5395 - logcount_predictions_loss: 0.4265 194/823 [======>.......................] - ETA: 1:32 - loss: 54.9712 - logits_profile_predictions_loss: 54.5448 - logcount_predictions_loss: 0.4264 195/823 [======>.......................] - ETA: 1:32 - loss: 54.9759 - logits_profile_predictions_loss: 54.5495 - logcount_predictions_loss: 0.4264 196/823 [======>.......................] - ETA: 1:32 - loss: 54.9695 - logits_profile_predictions_loss: 54.5434 - 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logits_profile_predictions_loss: 54.6842 - logcount_predictions_loss: 0.4134 775/823 [===========================>..] - ETA: 7s - loss: 55.0984 - logits_profile_predictions_loss: 54.6851 - logcount_predictions_loss: 0.4133 776/823 [===========================>..] - ETA: 6s - loss: 55.0940 - logits_profile_predictions_loss: 54.6809 - logcount_predictions_loss: 0.4131 777/823 [===========================>..] - ETA: 6s - loss: 55.0835 - logits_profile_predictions_loss: 54.6706 - logcount_predictions_loss: 0.4130 778/823 [===========================>..] - ETA: 6s - loss: 55.0862 - logits_profile_predictions_loss: 54.6733 - logcount_predictions_loss: 0.4129 779/823 [===========================>..] - ETA: 6s - loss: 55.0774 - logits_profile_predictions_loss: 54.6646 - logcount_predictions_loss: 0.4128 780/823 [===========================>..] - ETA: 6s - loss: 55.0764 - logits_profile_predictions_loss: 54.6637 - logcount_predictions_loss: 0.4127 781/823 [===========================>..] - ETA: 6s - loss: 55.0673 - logits_profile_predictions_loss: 54.6547 - logcount_predictions_loss: 0.4126 782/823 [===========================>..] - ETA: 6s - loss: 55.0731 - logits_profile_predictions_loss: 54.6606 - logcount_predictions_loss: 0.4125 783/823 [===========================>..] - ETA: 5s - loss: 55.0755 - logits_profile_predictions_loss: 54.6632 - logcount_predictions_loss: 0.4123 784/823 [===========================>..] - ETA: 5s - loss: 55.0845 - logits_profile_predictions_loss: 54.6721 - logcount_predictions_loss: 0.4124 785/823 [===========================>..] - ETA: 5s - loss: 55.0725 - logits_profile_predictions_loss: 54.6601 - logcount_predictions_loss: 0.4124 786/823 [===========================>..] - ETA: 5s - loss: 55.0677 - logits_profile_predictions_loss: 54.6555 - logcount_predictions_loss: 0.4122 787/823 [===========================>..] - ETA: 5s - loss: 55.0477 - logits_profile_predictions_loss: 54.6355 - logcount_predictions_loss: 0.4122 788/823 [===========================>..] - ETA: 5s - loss: 55.0527 - logits_profile_predictions_loss: 54.6405 - logcount_predictions_loss: 0.4122 789/823 [===========================>..] - ETA: 5s - loss: 55.0413 - logits_profile_predictions_loss: 54.6291 - logcount_predictions_loss: 0.4122 790/823 [===========================>..] - ETA: 4s - loss: 55.0257 - logits_profile_predictions_loss: 54.6134 - logcount_predictions_loss: 0.4123 791/823 [===========================>..] - ETA: 4s - loss: 55.0340 - logits_profile_predictions_loss: 54.6218 - logcount_predictions_loss: 0.4123 792/823 [===========================>..] - ETA: 4s - loss: 55.0323 - logits_profile_predictions_loss: 54.6200 - logcount_predictions_loss: 0.4123 793/823 [===========================>..] - ETA: 4s - loss: 55.0257 - logits_profile_predictions_loss: 54.6134 - logcount_predictions_loss: 0.4123 794/823 [===========================>..] - ETA: 4s - loss: 55.0209 - logits_profile_predictions_loss: 54.6088 - logcount_predictions_loss: 0.4122 795/823 [===========================>..] - ETA: 4s - loss: 55.0159 - logits_profile_predictions_loss: 54.6038 - logcount_predictions_loss: 0.4121 796/823 [============================>.] - ETA: 4s - loss: 55.0165 - logits_profile_predictions_loss: 54.6044 - logcount_predictions_loss: 0.4121 797/823 [============================>.] - ETA: 3s - loss: 55.0079 - logits_profile_predictions_loss: 54.5958 - logcount_predictions_loss: 0.4121 798/823 [============================>.] - ETA: 3s - loss: 55.0043 - logits_profile_predictions_loss: 54.5922 - logcount_predictions_loss: 0.4121 799/823 [============================>.] - ETA: 3s - loss: 55.0004 - logits_profile_predictions_loss: 54.5883 - logcount_predictions_loss: 0.4121 800/823 [============================>.] - ETA: 3s - loss: 54.9842 - logits_profile_predictions_loss: 54.5722 - logcount_predictions_loss: 0.4121 801/823 [============================>.] - ETA: 3s - loss: 54.9927 - logits_profile_predictions_loss: 54.5808 - logcount_predictions_loss: 0.4119 802/823 [============================>.] - ETA: 3s - loss: 54.9900 - logits_profile_predictions_loss: 54.5781 - logcount_predictions_loss: 0.4119 803/823 [============================>.] - ETA: 2s - loss: 55.0018 - logits_profile_predictions_loss: 54.5900 - logcount_predictions_loss: 0.4118 804/823 [============================>.] - ETA: 2s - loss: 54.9962 - logits_profile_predictions_loss: 54.5844 - logcount_predictions_loss: 0.4117 805/823 [============================>.] - ETA: 2s - loss: 54.9897 - logits_profile_predictions_loss: 54.5779 - logcount_predictions_loss: 0.4118 806/823 [============================>.] - ETA: 2s - loss: 54.9933 - logits_profile_predictions_loss: 54.5816 - logcount_predictions_loss: 0.4117 807/823 [============================>.] - ETA: 2s - loss: 55.0036 - logits_profile_predictions_loss: 54.5920 - logcount_predictions_loss: 0.4117 808/823 [============================>.] - ETA: 2s - loss: 54.9944 - logits_profile_predictions_loss: 54.5827 - logcount_predictions_loss: 0.4117 809/823 [============================>.] - ETA: 2s - loss: 55.0161 - logits_profile_predictions_loss: 54.6045 - logcount_predictions_loss: 0.4116 810/823 [============================>.] - ETA: 1s - loss: 55.0271 - logits_profile_predictions_loss: 54.6155 - logcount_predictions_loss: 0.4117 811/823 [============================>.] - ETA: 1s - loss: 55.0265 - logits_profile_predictions_loss: 54.6148 - logcount_predictions_loss: 0.4117 812/823 [============================>.] - ETA: 1s - loss: 55.0249 - logits_profile_predictions_loss: 54.6133 - logcount_predictions_loss: 0.4116 813/823 [============================>.] - ETA: 1s - loss: 55.0374 - logits_profile_predictions_loss: 54.6260 - logcount_predictions_loss: 0.4115 814/823 [============================>.] - ETA: 1s - loss: 55.0346 - logits_profile_predictions_loss: 54.6231 - logcount_predictions_loss: 0.4114 815/823 [============================>.] - ETA: 1s - loss: 55.0418 - logits_profile_predictions_loss: 54.6306 - logcount_predictions_loss: 0.4113 816/823 [============================>.] - ETA: 1s - loss: 55.0355 - logits_profile_predictions_loss: 54.6243 - logcount_predictions_loss: 0.4112 817/823 [============================>.] - ETA: 0s - loss: 55.0374 - logits_profile_predictions_loss: 54.6263 - logcount_predictions_loss: 0.4111 818/823 [============================>.] - ETA: 0s - loss: 55.0300 - logits_profile_predictions_loss: 54.6185 - logcount_predictions_loss: 0.4115 819/823 [============================>.] - ETA: 0s - loss: 55.0276 - logits_profile_predictions_loss: 54.6162 - logcount_predictions_loss: 0.4113 820/823 [============================>.] - ETA: 0s - loss: 55.0264 - logits_profile_predictions_loss: 54.6151 - logcount_predictions_loss: 0.4113 821/823 [============================>.] - ETA: 0s - loss: 55.0332 - logits_profile_predictions_loss: 54.6219 - logcount_predictions_loss: 0.4113 822/823 [============================>.] - ETA: 0s - loss: 55.0359 - logits_profile_predictions_loss: 54.6245 - logcount_predictions_loss: 0.4113 823/823 [==============================] - ETA: 0s - loss: 55.0383 - logits_profile_predictions_loss: 54.6272 - logcount_predictions_loss: 0.4111 Epoch 6: val_loss did not improve from 59.47170  823/823 [==============================] - 132s 161ms/step - loss: 55.0383 - logits_profile_predictions_loss: 54.6272 - logcount_predictions_loss: 0.4111 - val_loss: 59.6524 - val_logits_profile_predictions_loss: 59.2399 - val_logcount_predictions_loss: 0.4126 Epoch 7/50 1/823 [..............................] - ETA: 2:13 - loss: 51.8131 - logits_profile_predictions_loss: 51.2711 - logcount_predictions_loss: 0.5420 2/823 [..............................] - ETA: 2:01 - loss: 48.3193 - logits_profile_predictions_loss: 47.8032 - logcount_predictions_loss: 0.5161 3/823 [..............................] - ETA: 2:01 - loss: 49.6200 - logits_profile_predictions_loss: 49.1689 - logcount_predictions_loss: 0.4511 4/823 [..............................] - ETA: 2:01 - loss: 54.9996 - logits_profile_predictions_loss: 54.5436 - logcount_predictions_loss: 0.4560 5/823 [..............................] - ETA: 2:01 - loss: 55.6136 - logits_profile_predictions_loss: 55.1827 - logcount_predictions_loss: 0.4310 6/823 [..............................] - ETA: 2:01 - loss: 56.0255 - logits_profile_predictions_loss: 55.5930 - logcount_predictions_loss: 0.4325 7/823 [..............................] - ETA: 2:01 - loss: 55.2153 - logits_profile_predictions_loss: 54.7909 - logcount_predictions_loss: 0.4244 8/823 [..............................] - ETA: 2:00 - loss: 54.1095 - logits_profile_predictions_loss: 53.7001 - logcount_predictions_loss: 0.4093 9/823 [..............................] - ETA: 2:00 - loss: 54.4547 - logits_profile_predictions_loss: 54.0469 - logcount_predictions_loss: 0.4078 10/823 [..............................] - ETA: 2:00 - loss: 54.1844 - logits_profile_predictions_loss: 53.7747 - logcount_predictions_loss: 0.4097 11/823 [..............................] - ETA: 2:00 - loss: 53.6806 - logits_profile_predictions_loss: 53.2776 - logcount_predictions_loss: 0.4031 12/823 [..............................] - ETA: 2:00 - loss: 53.3978 - logits_profile_predictions_loss: 52.9891 - logcount_predictions_loss: 0.4086 13/823 [..............................] - ETA: 2:00 - loss: 53.7483 - logits_profile_predictions_loss: 53.3476 - logcount_predictions_loss: 0.4008 14/823 [..............................] - ETA: 2:00 - loss: 53.6149 - logits_profile_predictions_loss: 53.2256 - logcount_predictions_loss: 0.3893 15/823 [..............................] - ETA: 1:59 - loss: 53.5715 - logits_profile_predictions_loss: 53.1710 - logcount_predictions_loss: 0.4005 16/823 [..............................] - ETA: 1:59 - loss: 53.6553 - logits_profile_predictions_loss: 53.2369 - logcount_predictions_loss: 0.4184 17/823 [..............................] - ETA: 1:59 - loss: 53.8656 - logits_profile_predictions_loss: 53.4495 - logcount_predictions_loss: 0.4161 18/823 [..............................] - ETA: 1:59 - loss: 53.6234 - logits_profile_predictions_loss: 53.2133 - logcount_predictions_loss: 0.4101 19/823 [..............................] - ETA: 1:59 - loss: 53.5107 - logits_profile_predictions_loss: 53.1065 - logcount_predictions_loss: 0.4042 20/823 [..............................] - ETA: 1:59 - loss: 53.8461 - logits_profile_predictions_loss: 53.4398 - logcount_predictions_loss: 0.4062 21/823 [..............................] - ETA: 1:59 - loss: 53.6983 - logits_profile_predictions_loss: 53.2941 - logcount_predictions_loss: 0.4042 22/823 [..............................] - ETA: 1:58 - loss: 53.8813 - logits_profile_predictions_loss: 53.4820 - logcount_predictions_loss: 0.3992 23/823 [..............................] - ETA: 1:58 - loss: 54.1768 - logits_profile_predictions_loss: 53.7818 - logcount_predictions_loss: 0.3951 24/823 [..............................] - ETA: 1:58 - loss: 54.2885 - logits_profile_predictions_loss: 53.8956 - logcount_predictions_loss: 0.3929 25/823 [..............................] - ETA: 1:58 - loss: 54.3904 - logits_profile_predictions_loss: 53.9972 - logcount_predictions_loss: 0.3932 26/823 [..............................] - ETA: 1:58 - loss: 54.6061 - logits_profile_predictions_loss: 54.2136 - logcount_predictions_loss: 0.3925 27/823 [..............................] - ETA: 1:58 - loss: 54.5906 - logits_profile_predictions_loss: 54.1978 - logcount_predictions_loss: 0.3928 28/823 [>.............................] - ETA: 1:58 - loss: 54.4078 - logits_profile_predictions_loss: 54.0112 - logcount_predictions_loss: 0.3966 29/823 [>.............................] - ETA: 1:57 - loss: 54.2179 - logits_profile_predictions_loss: 53.8253 - logcount_predictions_loss: 0.3926 30/823 [>.............................] - 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[>.............................] - ETA: 1:56 - loss: 53.6223 - logits_profile_predictions_loss: 53.2187 - logcount_predictions_loss: 0.4036 38/823 [>.............................] - ETA: 1:56 - loss: 53.3806 - logits_profile_predictions_loss: 52.9742 - logcount_predictions_loss: 0.4064 39/823 [>.............................] - ETA: 1:56 - loss: 53.3088 - logits_profile_predictions_loss: 52.9022 - logcount_predictions_loss: 0.4066 40/823 [>.............................] - ETA: 1:56 - loss: 53.3352 - logits_profile_predictions_loss: 52.9279 - logcount_predictions_loss: 0.4073 41/823 [>.............................] - ETA: 1:56 - loss: 53.6569 - logits_profile_predictions_loss: 53.2535 - logcount_predictions_loss: 0.4034 42/823 [>.............................] - ETA: 1:55 - loss: 53.7632 - logits_profile_predictions_loss: 53.3623 - logcount_predictions_loss: 0.4009 43/823 [>.............................] - ETA: 1:55 - loss: 54.0094 - logits_profile_predictions_loss: 53.6088 - logcount_predictions_loss: 0.4006 44/823 [>.............................] - ETA: 1:55 - loss: 54.1253 - logits_profile_predictions_loss: 53.7243 - logcount_predictions_loss: 0.4010 45/823 [>.............................] - ETA: 1:55 - loss: 54.0110 - logits_profile_predictions_loss: 53.6081 - logcount_predictions_loss: 0.4029 46/823 [>.............................] - ETA: 1:55 - loss: 54.1516 - logits_profile_predictions_loss: 53.7497 - logcount_predictions_loss: 0.4019 47/823 [>.............................] - ETA: 1:55 - loss: 54.1213 - logits_profile_predictions_loss: 53.7168 - logcount_predictions_loss: 0.4046 48/823 [>.............................] - ETA: 1:55 - loss: 54.1275 - logits_profile_predictions_loss: 53.7231 - logcount_predictions_loss: 0.4044 49/823 [>.............................] - ETA: 1:54 - loss: 54.0967 - logits_profile_predictions_loss: 53.6920 - logcount_predictions_loss: 0.4047 50/823 [>.............................] - ETA: 1:54 - loss: 53.9916 - 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ETA: 1:53 - loss: 54.1919 - logits_profile_predictions_loss: 53.7821 - logcount_predictions_loss: 0.4098 58/823 [=>............................] - ETA: 1:53 - loss: 54.1260 - logits_profile_predictions_loss: 53.7167 - logcount_predictions_loss: 0.4093 59/823 [=>............................] - ETA: 1:53 - loss: 54.1181 - logits_profile_predictions_loss: 53.7076 - logcount_predictions_loss: 0.4106 60/823 [=>............................] - ETA: 1:53 - loss: 54.0911 - logits_profile_predictions_loss: 53.6794 - logcount_predictions_loss: 0.4117 61/823 [=>............................] - ETA: 1:53 - loss: 54.1521 - logits_profile_predictions_loss: 53.7401 - logcount_predictions_loss: 0.4119 62/823 [=>............................] - ETA: 1:52 - loss: 54.1765 - logits_profile_predictions_loss: 53.7657 - logcount_predictions_loss: 0.4107 63/823 [=>............................] - ETA: 1:52 - loss: 54.3183 - logits_profile_predictions_loss: 53.9076 - logcount_predictions_loss: 0.4107 64/823 [=>............................] - ETA: 1:52 - loss: 54.4205 - logits_profile_predictions_loss: 54.0085 - logcount_predictions_loss: 0.4120 65/823 [=>............................] - ETA: 1:52 - loss: 54.4775 - logits_profile_predictions_loss: 54.0645 - logcount_predictions_loss: 0.4130 66/823 [=>............................] - ETA: 1:52 - loss: 54.4719 - logits_profile_predictions_loss: 54.0585 - logcount_predictions_loss: 0.4134 67/823 [=>............................] - ETA: 1:52 - loss: 54.5914 - logits_profile_predictions_loss: 54.1768 - logcount_predictions_loss: 0.4145 68/823 [=>............................] - ETA: 1:52 - loss: 54.4887 - logits_profile_predictions_loss: 54.0739 - logcount_predictions_loss: 0.4148 69/823 [=>............................] - ETA: 1:52 - loss: 54.6199 - logits_profile_predictions_loss: 54.2049 - logcount_predictions_loss: 0.4150 70/823 [=>............................] - ETA: 1:51 - loss: 54.6497 - logits_profile_predictions_loss: 54.2345 - logcount_predictions_loss: 0.4151 71/823 [=>............................] - ETA: 1:51 - loss: 54.6785 - logits_profile_predictions_loss: 54.2654 - logcount_predictions_loss: 0.4131 72/823 [=>............................] - ETA: 1:51 - loss: 54.8342 - logits_profile_predictions_loss: 54.4223 - logcount_predictions_loss: 0.4119 73/823 [=>............................] - ETA: 1:51 - loss: 54.7758 - logits_profile_predictions_loss: 54.3643 - logcount_predictions_loss: 0.4116 74/823 [=>............................] - ETA: 1:51 - loss: 54.7731 - logits_profile_predictions_loss: 54.3612 - logcount_predictions_loss: 0.4119 75/823 [=>............................] - ETA: 1:51 - loss: 54.7766 - logits_profile_predictions_loss: 54.3643 - logcount_predictions_loss: 0.4122 76/823 [=>............................] - ETA: 1:50 - loss: 54.8245 - logits_profile_predictions_loss: 54.4128 - logcount_predictions_loss: 0.4117 77/823 [=>............................] - ETA: 1:50 - loss: 54.7648 - logits_profile_predictions_loss: 54.3542 - logcount_predictions_loss: 0.4106 78/823 [=>............................] - ETA: 1:50 - loss: 54.6640 - logits_profile_predictions_loss: 54.2543 - logcount_predictions_loss: 0.4097 79/823 [=>............................] - ETA: 1:50 - loss: 54.7255 - logits_profile_predictions_loss: 54.3165 - logcount_predictions_loss: 0.4090 80/823 [=>............................] - ETA: 1:50 - loss: 54.5807 - logits_profile_predictions_loss: 54.1723 - logcount_predictions_loss: 0.4085 81/823 [=>............................] - ETA: 1:50 - loss: 54.5570 - logits_profile_predictions_loss: 54.1491 - logcount_predictions_loss: 0.4079 82/823 [=>............................] - ETA: 1:50 - loss: 54.5094 - logits_profile_predictions_loss: 54.1032 - logcount_predictions_loss: 0.4062 83/823 [==>...........................] - ETA: 1:49 - loss: 54.6006 - logits_profile_predictions_loss: 54.1952 - logcount_predictions_loss: 0.4055 84/823 [==>...........................] - ETA: 1:49 - loss: 54.6840 - logits_profile_predictions_loss: 54.2774 - logcount_predictions_loss: 0.4066 85/823 [==>...........................] - ETA: 1:49 - loss: 54.7152 - logits_profile_predictions_loss: 54.3069 - logcount_predictions_loss: 0.4082 86/823 [==>...........................] - ETA: 1:49 - loss: 54.6651 - logits_profile_predictions_loss: 54.2577 - logcount_predictions_loss: 0.4073 87/823 [==>...........................] - ETA: 1:49 - loss: 54.7699 - logits_profile_predictions_loss: 54.3640 - logcount_predictions_loss: 0.4059 88/823 [==>...........................] - ETA: 1:49 - loss: 54.7740 - logits_profile_predictions_loss: 54.3691 - logcount_predictions_loss: 0.4049 89/823 [==>...........................] - ETA: 1:49 - loss: 54.8023 - logits_profile_predictions_loss: 54.3977 - logcount_predictions_loss: 0.4046 90/823 [==>...........................] - ETA: 1:48 - loss: 54.8674 - logits_profile_predictions_loss: 54.4619 - logcount_predictions_loss: 0.4055 91/823 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logcount_predictions_loss: 0.4308 797/823 [============================>.] - ETA: 3s - loss: 54.8718 - logits_profile_predictions_loss: 54.4409 - logcount_predictions_loss: 0.4310 798/823 [============================>.] - ETA: 3s - loss: 54.8832 - logits_profile_predictions_loss: 54.4523 - logcount_predictions_loss: 0.4310 799/823 [============================>.] - ETA: 3s - loss: 54.8887 - logits_profile_predictions_loss: 54.4577 - logcount_predictions_loss: 0.4310 800/823 [============================>.] - ETA: 3s - loss: 54.8922 - logits_profile_predictions_loss: 54.4614 - logcount_predictions_loss: 0.4309 801/823 [============================>.] - ETA: 3s - loss: 54.8965 - logits_profile_predictions_loss: 54.4656 - logcount_predictions_loss: 0.4310 802/823 [============================>.] - ETA: 3s - loss: 54.8988 - logits_profile_predictions_loss: 54.4678 - logcount_predictions_loss: 0.4311 803/823 [============================>.] - ETA: 2s - loss: 54.9014 - logits_profile_predictions_loss: 54.4704 - logcount_predictions_loss: 0.4310 804/823 [============================>.] - ETA: 2s - loss: 54.9056 - logits_profile_predictions_loss: 54.4745 - logcount_predictions_loss: 0.4311 805/823 [============================>.] - ETA: 2s - loss: 54.8998 - logits_profile_predictions_loss: 54.4687 - logcount_predictions_loss: 0.4311 806/823 [============================>.] - ETA: 2s - loss: 54.8969 - logits_profile_predictions_loss: 54.4658 - logcount_predictions_loss: 0.4311 807/823 [============================>.] - ETA: 2s - loss: 54.8887 - logits_profile_predictions_loss: 54.4577 - logcount_predictions_loss: 0.4311 808/823 [============================>.] - ETA: 2s - loss: 54.8899 - logits_profile_predictions_loss: 54.4589 - logcount_predictions_loss: 0.4311 809/823 [============================>.] - ETA: 2s - loss: 54.8936 - logits_profile_predictions_loss: 54.4625 - logcount_predictions_loss: 0.4311 810/823 [============================>.] - ETA: 1s - loss: 54.8964 - logits_profile_predictions_loss: 54.4654 - logcount_predictions_loss: 0.4310 811/823 [============================>.] - ETA: 1s - loss: 54.8905 - logits_profile_predictions_loss: 54.4596 - logcount_predictions_loss: 0.4310 812/823 [============================>.] - ETA: 1s - loss: 54.8911 - logits_profile_predictions_loss: 54.4602 - logcount_predictions_loss: 0.4310 813/823 [============================>.] - ETA: 1s - loss: 54.9029 - logits_profile_predictions_loss: 54.4719 - logcount_predictions_loss: 0.4311 814/823 [============================>.] - ETA: 1s - loss: 54.9030 - logits_profile_predictions_loss: 54.4720 - logcount_predictions_loss: 0.4311 815/823 [============================>.] - ETA: 1s - loss: 54.9029 - logits_profile_predictions_loss: 54.4719 - logcount_predictions_loss: 0.4311 816/823 [============================>.] - ETA: 1s - loss: 54.9006 - logits_profile_predictions_loss: 54.4698 - logcount_predictions_loss: 0.4308 817/823 [============================>.] - ETA: 0s - loss: 54.8971 - logits_profile_predictions_loss: 54.4661 - logcount_predictions_loss: 0.4311 818/823 [============================>.] - ETA: 0s - loss: 54.8980 - logits_profile_predictions_loss: 54.4669 - logcount_predictions_loss: 0.4311 819/823 [============================>.] - ETA: 0s - loss: 54.9002 - logits_profile_predictions_loss: 54.4691 - logcount_predictions_loss: 0.4311 820/823 [============================>.] - ETA: 0s - loss: 54.9015 - logits_profile_predictions_loss: 54.4702 - logcount_predictions_loss: 0.4313 821/823 [============================>.] - ETA: 0s - loss: 54.9053 - logits_profile_predictions_loss: 54.4742 - logcount_predictions_loss: 0.4312 822/823 [============================>.] - ETA: 0s - loss: 54.9027 - logits_profile_predictions_loss: 54.4714 - logcount_predictions_loss: 0.4313 823/823 [==============================] - ETA: 0s - loss: 54.9017 - logits_profile_predictions_loss: 54.4705 - logcount_predictions_loss: 0.4312 Epoch 7: val_loss did not improve from 59.47170  823/823 [==============================] - 132s 161ms/step - loss: 54.9017 - logits_profile_predictions_loss: 54.4705 - logcount_predictions_loss: 0.4312 - val_loss: 59.8256 - val_logits_profile_predictions_loss: 59.4024 - val_logcount_predictions_loss: 0.4232 Epoch 8/50 1/823 [..............................] - ETA: 2:23 - loss: 60.3519 - logits_profile_predictions_loss: 59.9551 - logcount_predictions_loss: 0.3968 2/823 [..............................] - ETA: 2:01 - loss: 66.6724 - logits_profile_predictions_loss: 66.2249 - logcount_predictions_loss: 0.4475 3/823 [..............................] - ETA: 2:01 - loss: 64.1674 - logits_profile_predictions_loss: 63.7553 - logcount_predictions_loss: 0.4121 4/823 [..............................] - ETA: 2:01 - loss: 59.0360 - logits_profile_predictions_loss: 58.6061 - logcount_predictions_loss: 0.4299 5/823 [..............................] - ETA: 2:01 - loss: 58.0720 - logits_profile_predictions_loss: 57.6428 - logcount_predictions_loss: 0.4292 6/823 [..............................] - ETA: 2:01 - loss: 56.8255 - logits_profile_predictions_loss: 56.4138 - logcount_predictions_loss: 0.4117 7/823 [..............................] - ETA: 2:01 - loss: 56.5393 - logits_profile_predictions_loss: 56.1293 - logcount_predictions_loss: 0.4100 8/823 [..............................] - ETA: 2:01 - loss: 56.5884 - logits_profile_predictions_loss: 56.1922 - logcount_predictions_loss: 0.3962 9/823 [..............................] - ETA: 2:00 - loss: 56.7488 - logits_profile_predictions_loss: 56.3503 - logcount_predictions_loss: 0.3985 10/823 [..............................] - ETA: 2:00 - loss: 57.1536 - logits_profile_predictions_loss: 56.7597 - logcount_predictions_loss: 0.3940 11/823 [..............................] - ETA: 2:00 - loss: 56.9267 - logits_profile_predictions_loss: 56.5284 - logcount_predictions_loss: 0.3983 12/823 [..............................] - ETA: 2:00 - loss: 56.1338 - logits_profile_predictions_loss: 55.7428 - logcount_predictions_loss: 0.3910 14/823 [..............................] - ETA: 1:51 - loss: 57.4971 - logits_profile_predictions_loss: 57.0915 - logcount_predictions_loss: 0.4057 15/823 [..............................] - ETA: 1:51 - loss: 57.6321 - logits_profile_predictions_loss: 57.2192 - logcount_predictions_loss: 0.4130 16/823 [..............................] - ETA: 1:52 - loss: 57.2858 - logits_profile_predictions_loss: 56.8689 - logcount_predictions_loss: 0.4169 17/823 [..............................] - ETA: 1:52 - loss: 57.8624 - logits_profile_predictions_loss: 57.4444 - logcount_predictions_loss: 0.4180 18/823 [..............................] - ETA: 1:52 - loss: 58.3496 - logits_profile_predictions_loss: 57.9273 - logcount_predictions_loss: 0.4223 19/823 [..............................] - ETA: 1:53 - loss: 57.9403 - logits_profile_predictions_loss: 57.5129 - logcount_predictions_loss: 0.4274 20/823 [..............................] - ETA: 1:53 - loss: 57.5338 - logits_profile_predictions_loss: 57.0933 - logcount_predictions_loss: 0.4405 21/823 [..............................] - ETA: 1:53 - loss: 57.5106 - logits_profile_predictions_loss: 57.0740 - logcount_predictions_loss: 0.4366 22/823 [..............................] - ETA: 1:53 - loss: 57.6078 - logits_profile_predictions_loss: 57.1724 - logcount_predictions_loss: 0.4354 23/823 [..............................] - ETA: 1:53 - loss: 57.4230 - logits_profile_predictions_loss: 56.9925 - logcount_predictions_loss: 0.4306 24/823 [..............................] - ETA: 1:53 - loss: 57.3981 - logits_profile_predictions_loss: 56.9700 - logcount_predictions_loss: 0.4281 25/823 [..............................] - ETA: 1:53 - loss: 57.2518 - logits_profile_predictions_loss: 56.8274 - logcount_predictions_loss: 0.4244 26/823 [..............................] - ETA: 1:53 - loss: 56.7641 - logits_profile_predictions_loss: 56.3401 - logcount_predictions_loss: 0.4240 27/823 [..............................] - ETA: 1:53 - loss: 56.7840 - logits_profile_predictions_loss: 56.3626 - logcount_predictions_loss: 0.4214 28/823 [>.............................] - ETA: 1:53 - loss: 56.7095 - logits_profile_predictions_loss: 56.2876 - logcount_predictions_loss: 0.4219 29/823 [>.............................] - ETA: 1:53 - loss: 56.9816 - logits_profile_predictions_loss: 56.5565 - logcount_predictions_loss: 0.4252 30/823 [>.............................] - ETA: 1:53 - loss: 56.9945 - logits_profile_predictions_loss: 56.5710 - logcount_predictions_loss: 0.4235 31/823 [>.............................] - ETA: 1:53 - loss: 56.9842 - logits_profile_predictions_loss: 56.5575 - logcount_predictions_loss: 0.4267 32/823 [>.............................] - ETA: 1:53 - loss: 56.5199 - logits_profile_predictions_loss: 56.0949 - logcount_predictions_loss: 0.4250 33/823 [>.............................] - ETA: 1:53 - loss: 56.5215 - logits_profile_predictions_loss: 56.0970 - logcount_predictions_loss: 0.4245 34/823 [>.............................] - ETA: 1:53 - loss: 56.3076 - logits_profile_predictions_loss: 55.8836 - logcount_predictions_loss: 0.4241 35/823 [>.............................] - ETA: 1:53 - loss: 56.4336 - logits_profile_predictions_loss: 56.0094 - logcount_predictions_loss: 0.4242 36/823 [>.............................] - ETA: 1:53 - loss: 56.4251 - logits_profile_predictions_loss: 56.0033 - logcount_predictions_loss: 0.4219 37/823 [>.............................] - ETA: 1:53 - loss: 56.5612 - logits_profile_predictions_loss: 56.1399 - logcount_predictions_loss: 0.4213 38/823 [>.............................] - ETA: 1:53 - loss: 56.5611 - logits_profile_predictions_loss: 56.1402 - logcount_predictions_loss: 0.4209 39/823 [>.............................] - ETA: 1:53 - loss: 56.5294 - logits_profile_predictions_loss: 56.1090 - logcount_predictions_loss: 0.4204 40/823 [>.............................] - ETA: 1:53 - loss: 56.6059 - logits_profile_predictions_loss: 56.1870 - logcount_predictions_loss: 0.4189 41/823 [>.............................] - ETA: 1:53 - loss: 56.2945 - logits_profile_predictions_loss: 55.8765 - logcount_predictions_loss: 0.4179 42/823 [>.............................] - ETA: 1:53 - loss: 56.0863 - logits_profile_predictions_loss: 55.6674 - logcount_predictions_loss: 0.4190 43/823 [>.............................] - ETA: 1:53 - loss: 56.0297 - logits_profile_predictions_loss: 55.6082 - logcount_predictions_loss: 0.4215 44/823 [>.............................] - ETA: 1:53 - loss: 56.1913 - logits_profile_predictions_loss: 55.7670 - logcount_predictions_loss: 0.4243 45/823 [>.............................] - ETA: 1:52 - loss: 56.2028 - logits_profile_predictions_loss: 55.7792 - logcount_predictions_loss: 0.4236 46/823 [>.............................] - ETA: 1:52 - loss: 56.0716 - logits_profile_predictions_loss: 55.6494 - logcount_predictions_loss: 0.4222 47/823 [>.............................] - ETA: 1:52 - loss: 56.0977 - logits_profile_predictions_loss: 55.6756 - logcount_predictions_loss: 0.4221 48/823 [>.............................] - ETA: 1:52 - loss: 56.1654 - logits_profile_predictions_loss: 55.7413 - logcount_predictions_loss: 0.4240 49/823 [>.............................] - ETA: 1:52 - loss: 55.9775 - logits_profile_predictions_loss: 55.5541 - logcount_predictions_loss: 0.4234 50/823 [>.............................] - ETA: 1:52 - loss: 56.0453 - logits_profile_predictions_loss: 55.6255 - logcount_predictions_loss: 0.4198 51/823 [>.............................] - ETA: 1:52 - loss: 56.1439 - logits_profile_predictions_loss: 55.7231 - logcount_predictions_loss: 0.4208 52/823 [>.............................] - ETA: 1:52 - loss: 56.0943 - logits_profile_predictions_loss: 55.6752 - logcount_predictions_loss: 0.4191 53/823 [>.............................] - ETA: 1:52 - loss: 56.0545 - logits_profile_predictions_loss: 55.6357 - logcount_predictions_loss: 0.4188 54/823 [>.............................] - ETA: 1:52 - loss: 55.9790 - logits_profile_predictions_loss: 55.5624 - logcount_predictions_loss: 0.4166 55/823 [=>............................] - ETA: 1:51 - loss: 56.1293 - logits_profile_predictions_loss: 55.7131 - logcount_predictions_loss: 0.4162 56/823 [=>............................] - ETA: 1:51 - loss: 56.1554 - logits_profile_predictions_loss: 55.7408 - logcount_predictions_loss: 0.4146 57/823 [=>............................] - ETA: 1:51 - loss: 56.0328 - logits_profile_predictions_loss: 55.6173 - logcount_predictions_loss: 0.4154 58/823 [=>............................] - ETA: 1:51 - loss: 56.0592 - logits_profile_predictions_loss: 55.6438 - logcount_predictions_loss: 0.4154 59/823 [=>............................] - ETA: 1:51 - loss: 55.9662 - logits_profile_predictions_loss: 55.5527 - logcount_predictions_loss: 0.4136 60/823 [=>............................] - ETA: 1:51 - loss: 55.8777 - logits_profile_predictions_loss: 55.4649 - logcount_predictions_loss: 0.4128 61/823 [=>............................] - ETA: 1:51 - loss: 55.8336 - logits_profile_predictions_loss: 55.4225 - logcount_predictions_loss: 0.4112 62/823 [=>............................] - ETA: 1:51 - loss: 55.9796 - logits_profile_predictions_loss: 55.5686 - logcount_predictions_loss: 0.4110 63/823 [=>............................] - ETA: 1:51 - loss: 55.9051 - logits_profile_predictions_loss: 55.4948 - logcount_predictions_loss: 0.4103 64/823 [=>............................] - ETA: 1:50 - loss: 56.0063 - logits_profile_predictions_loss: 55.5961 - logcount_predictions_loss: 0.4102 65/823 [=>............................] - ETA: 1:50 - loss: 55.9081 - logits_profile_predictions_loss: 55.4986 - logcount_predictions_loss: 0.4095 66/823 [=>............................] - ETA: 1:50 - loss: 55.7161 - logits_profile_predictions_loss: 55.3077 - logcount_predictions_loss: 0.4085 67/823 [=>............................] - ETA: 1:50 - loss: 55.7422 - logits_profile_predictions_loss: 55.3329 - logcount_predictions_loss: 0.4092 68/823 [=>............................] - ETA: 1:50 - loss: 55.6572 - logits_profile_predictions_loss: 55.2500 - logcount_predictions_loss: 0.4073 69/823 [=>............................] - ETA: 1:50 - loss: 55.6129 - logits_profile_predictions_loss: 55.2050 - logcount_predictions_loss: 0.4078 70/823 [=>............................] - ETA: 1:50 - loss: 55.4988 - logits_profile_predictions_loss: 55.0918 - logcount_predictions_loss: 0.4070 71/823 [=>............................] - ETA: 1:50 - loss: 55.5639 - logits_profile_predictions_loss: 55.1567 - logcount_predictions_loss: 0.4072 72/823 [=>............................] - ETA: 1:49 - loss: 55.5046 - logits_profile_predictions_loss: 55.0960 - logcount_predictions_loss: 0.4086 73/823 [=>............................] - ETA: 1:49 - loss: 55.5097 - logits_profile_predictions_loss: 55.1030 - logcount_predictions_loss: 0.4067 74/823 [=>............................] - ETA: 1:49 - loss: 55.4611 - logits_profile_predictions_loss: 55.0545 - logcount_predictions_loss: 0.4066 75/823 [=>............................] - ETA: 1:49 - loss: 55.4210 - logits_profile_predictions_loss: 55.0137 - logcount_predictions_loss: 0.4072 76/823 [=>............................] - ETA: 1:49 - loss: 55.5985 - logits_profile_predictions_loss: 55.1922 - logcount_predictions_loss: 0.4063 77/823 [=>............................] - ETA: 1:49 - loss: 55.5760 - logits_profile_predictions_loss: 55.1678 - logcount_predictions_loss: 0.4082 78/823 [=>............................] - ETA: 1:49 - loss: 55.5012 - logits_profile_predictions_loss: 55.0937 - logcount_predictions_loss: 0.4075 79/823 [=>............................] - ETA: 1:49 - loss: 55.4108 - logits_profile_predictions_loss: 55.0045 - logcount_predictions_loss: 0.4063 80/823 [=>............................] - ETA: 1:48 - loss: 55.4398 - logits_profile_predictions_loss: 55.0338 - logcount_predictions_loss: 0.4060 81/823 [=>............................] - ETA: 1:48 - loss: 55.2526 - logits_profile_predictions_loss: 54.8469 - logcount_predictions_loss: 0.4057 82/823 [=>............................] - ETA: 1:48 - loss: 55.2413 - logits_profile_predictions_loss: 54.8355 - logcount_predictions_loss: 0.4058 83/823 [==>...........................] - ETA: 1:48 - loss: 55.2605 - logits_profile_predictions_loss: 54.8542 - logcount_predictions_loss: 0.4063 84/823 [==>...........................] - ETA: 1:48 - loss: 55.3027 - logits_profile_predictions_loss: 54.8955 - logcount_predictions_loss: 0.4072 85/823 [==>...........................] - ETA: 1:48 - loss: 55.2145 - logits_profile_predictions_loss: 54.8079 - logcount_predictions_loss: 0.4066 86/823 [==>...........................] - ETA: 1:48 - loss: 55.1960 - logits_profile_predictions_loss: 54.7886 - logcount_predictions_loss: 0.4074 87/823 [==>...........................] - ETA: 1:48 - loss: 55.2239 - logits_profile_predictions_loss: 54.8167 - logcount_predictions_loss: 0.4072 88/823 [==>...........................] - ETA: 1:47 - loss: 55.3933 - logits_profile_predictions_loss: 54.9867 - logcount_predictions_loss: 0.4066 89/823 [==>...........................] - ETA: 1:47 - loss: 55.3332 - logits_profile_predictions_loss: 54.9256 - logcount_predictions_loss: 0.4077 90/823 [==>...........................] - ETA: 1:47 - loss: 55.3684 - logits_profile_predictions_loss: 54.9598 - logcount_predictions_loss: 0.4086 91/823 [==>...........................] - ETA: 1:47 - loss: 55.3522 - logits_profile_predictions_loss: 54.9453 - logcount_predictions_loss: 0.4069 92/823 [==>...........................] - ETA: 1:47 - loss: 55.2895 - logits_profile_predictions_loss: 54.8831 - logcount_predictions_loss: 0.4064 93/823 [==>...........................] - ETA: 1:47 - loss: 55.2959 - logits_profile_predictions_loss: 54.8901 - logcount_predictions_loss: 0.4058 94/823 [==>...........................] - ETA: 1:47 - loss: 55.3170 - logits_profile_predictions_loss: 54.9108 - logcount_predictions_loss: 0.4062 95/823 [==>...........................] - ETA: 1:46 - loss: 55.3214 - logits_profile_predictions_loss: 54.9152 - logcount_predictions_loss: 0.4062 96/823 [==>...........................] - ETA: 1:46 - loss: 55.3231 - logits_profile_predictions_loss: 54.9169 - logcount_predictions_loss: 0.4062 97/823 [==>...........................] - ETA: 1:46 - loss: 55.1808 - logits_profile_predictions_loss: 54.7748 - logcount_predictions_loss: 0.4060 98/823 [==>...........................] - ETA: 1:46 - loss: 55.1504 - logits_profile_predictions_loss: 54.7454 - logcount_predictions_loss: 0.4049 99/823 [==>...........................] - ETA: 1:46 - loss: 55.2693 - logits_profile_predictions_loss: 54.8638 - logcount_predictions_loss: 0.4055 100/823 [==>...........................] - ETA: 1:46 - loss: 55.2393 - logits_profile_predictions_loss: 54.8346 - logcount_predictions_loss: 0.4047 101/823 [==>...........................] - ETA: 1:46 - loss: 55.2386 - logits_profile_predictions_loss: 54.8339 - logcount_predictions_loss: 0.4047 102/823 [==>...........................] - ETA: 1:45 - loss: 55.1510 - logits_profile_predictions_loss: 54.7464 - logcount_predictions_loss: 0.4045 103/823 [==>...........................] - ETA: 1:45 - loss: 55.1647 - logits_profile_predictions_loss: 54.7596 - logcount_predictions_loss: 0.4051 104/823 [==>...........................] - ETA: 1:45 - loss: 55.1227 - logits_profile_predictions_loss: 54.7179 - logcount_predictions_loss: 0.4048 105/823 [==>...........................] - ETA: 1:45 - loss: 55.0765 - logits_profile_predictions_loss: 54.6728 - logcount_predictions_loss: 0.4037 106/823 [==>...........................] - ETA: 1:45 - loss: 55.0895 - logits_profile_predictions_loss: 54.6851 - logcount_predictions_loss: 0.4044 107/823 [==>...........................] - ETA: 1:45 - loss: 55.1423 - 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[============================>.] - ETA: 0s - loss: 54.6867 - logits_profile_predictions_loss: 54.2975 - logcount_predictions_loss: 0.3892 820/823 [============================>.] - ETA: 0s - loss: 54.6809 - logits_profile_predictions_loss: 54.2916 - logcount_predictions_loss: 0.3893 821/823 [============================>.] - ETA: 0s - loss: 54.6867 - logits_profile_predictions_loss: 54.2974 - logcount_predictions_loss: 0.3893 822/823 [============================>.] - ETA: 0s - loss: 54.6820 - logits_profile_predictions_loss: 54.2928 - logcount_predictions_loss: 0.3893 823/823 [==============================] - ETA: 0s - loss: 54.6861 - logits_profile_predictions_loss: 54.2968 - logcount_predictions_loss: 0.3893 Epoch 8: val_loss did not improve from 59.47170  823/823 [==============================] - 132s 161ms/step - loss: 54.6861 - logits_profile_predictions_loss: 54.2968 - logcount_predictions_loss: 0.3893 - val_loss: 59.7685 - val_logits_profile_predictions_loss: 59.4289 - val_logcount_predictions_loss: 0.3396 Epoch 9/50 1/823 [..............................] - ETA: 2:14 - loss: 53.8057 - logits_profile_predictions_loss: 53.4701 - logcount_predictions_loss: 0.3356 2/823 [..............................] - ETA: 2:01 - loss: 60.2726 - logits_profile_predictions_loss: 59.9272 - logcount_predictions_loss: 0.3453 3/823 [..............................] - ETA: 2:01 - loss: 57.0595 - logits_profile_predictions_loss: 56.6874 - logcount_predictions_loss: 0.3721 4/823 [..............................] - ETA: 2:01 - loss: 53.6306 - logits_profile_predictions_loss: 53.2583 - logcount_predictions_loss: 0.3722 5/823 [..............................] - ETA: 2:01 - loss: 56.2157 - logits_profile_predictions_loss: 55.8485 - logcount_predictions_loss: 0.3672 6/823 [..............................] - ETA: 2:01 - loss: 56.2653 - logits_profile_predictions_loss: 55.8524 - logcount_predictions_loss: 0.4130 7/823 [..............................] - ETA: 2:01 - loss: 57.5141 - logits_profile_predictions_loss: 57.1013 - logcount_predictions_loss: 0.4128 8/823 [..............................] - ETA: 2:00 - loss: 58.2103 - logits_profile_predictions_loss: 57.8062 - logcount_predictions_loss: 0.4041 9/823 [..............................] - ETA: 2:00 - loss: 57.7465 - logits_profile_predictions_loss: 57.3348 - logcount_predictions_loss: 0.4117 10/823 [..............................] - ETA: 2:00 - loss: 57.3051 - logits_profile_predictions_loss: 56.8809 - logcount_predictions_loss: 0.4242 11/823 [..............................] - ETA: 2:00 - loss: 56.4610 - logits_profile_predictions_loss: 56.0461 - logcount_predictions_loss: 0.4149 12/823 [..............................] - ETA: 2:00 - loss: 57.1289 - logits_profile_predictions_loss: 56.7151 - logcount_predictions_loss: 0.4139 13/823 [..............................] - ETA: 2:00 - loss: 57.0246 - logits_profile_predictions_loss: 56.6178 - logcount_predictions_loss: 0.4068 14/823 [..............................] - ETA: 2:00 - loss: 56.4347 - logits_profile_predictions_loss: 56.0379 - logcount_predictions_loss: 0.3968 15/823 [..............................] - ETA: 1:59 - loss: 55.6446 - logits_profile_predictions_loss: 55.2477 - logcount_predictions_loss: 0.3969 16/823 [..............................] - ETA: 1:59 - loss: 55.7517 - logits_profile_predictions_loss: 55.3525 - logcount_predictions_loss: 0.3992 17/823 [..............................] - ETA: 1:59 - loss: 55.8539 - logits_profile_predictions_loss: 55.4653 - logcount_predictions_loss: 0.3886 18/823 [..............................] - ETA: 1:59 - loss: 55.5701 - logits_profile_predictions_loss: 55.1566 - logcount_predictions_loss: 0.4135 19/823 [..............................] - ETA: 1:59 - loss: 55.2310 - logits_profile_predictions_loss: 54.8186 - logcount_predictions_loss: 0.4124 20/823 [..............................] - ETA: 1:59 - loss: 55.4720 - logits_profile_predictions_loss: 55.0590 - logcount_predictions_loss: 0.4130 21/823 [..............................] - ETA: 1:59 - loss: 55.6794 - logits_profile_predictions_loss: 55.2613 - logcount_predictions_loss: 0.4181 22/823 [..............................] - ETA: 1:58 - loss: 55.9690 - logits_profile_predictions_loss: 55.5529 - logcount_predictions_loss: 0.4161 23/823 [..............................] - ETA: 1:58 - loss: 56.2099 - logits_profile_predictions_loss: 55.7941 - logcount_predictions_loss: 0.4158 24/823 [..............................] - ETA: 1:58 - loss: 56.3475 - logits_profile_predictions_loss: 55.9348 - logcount_predictions_loss: 0.4127 25/823 [..............................] - ETA: 1:58 - loss: 56.3349 - logits_profile_predictions_loss: 55.9257 - logcount_predictions_loss: 0.4092 26/823 [..............................] - ETA: 1:58 - loss: 55.9824 - logits_profile_predictions_loss: 55.5710 - logcount_predictions_loss: 0.4114 27/823 [..............................] - ETA: 1:58 - loss: 56.0242 - logits_profile_predictions_loss: 55.6166 - logcount_predictions_loss: 0.4076 28/823 [>.............................] - ETA: 1:58 - loss: 55.4468 - logits_profile_predictions_loss: 55.0469 - logcount_predictions_loss: 0.3998 29/823 [>.............................] - ETA: 1:57 - loss: 55.3755 - logits_profile_predictions_loss: 54.9765 - logcount_predictions_loss: 0.3990 30/823 [>.............................] - ETA: 1:57 - loss: 55.5157 - logits_profile_predictions_loss: 55.1139 - logcount_predictions_loss: 0.4019 31/823 [>.............................] - ETA: 1:57 - loss: 55.7209 - logits_profile_predictions_loss: 55.3170 - logcount_predictions_loss: 0.4039 32/823 [>.............................] - ETA: 1:57 - loss: 55.2960 - logits_profile_predictions_loss: 54.8922 - logcount_predictions_loss: 0.4037 33/823 [>.............................] - ETA: 1:57 - loss: 55.2125 - logits_profile_predictions_loss: 54.8069 - logcount_predictions_loss: 0.4056 34/823 [>.............................] - ETA: 1:57 - loss: 55.2371 - logits_profile_predictions_loss: 54.8353 - logcount_predictions_loss: 0.4017 35/823 [>.............................] - ETA: 1:56 - loss: 55.1697 - logits_profile_predictions_loss: 54.7691 - logcount_predictions_loss: 0.4006 36/823 [>.............................] - ETA: 1:56 - loss: 55.1972 - logits_profile_predictions_loss: 54.7956 - logcount_predictions_loss: 0.4016 37/823 [>.............................] - ETA: 1:56 - loss: 55.2096 - logits_profile_predictions_loss: 54.8088 - logcount_predictions_loss: 0.4009 38/823 [>.............................] - ETA: 1:56 - loss: 55.3711 - logits_profile_predictions_loss: 54.9704 - logcount_predictions_loss: 0.4007 39/823 [>.............................] - ETA: 1:56 - loss: 55.3325 - logits_profile_predictions_loss: 54.9335 - logcount_predictions_loss: 0.3990 40/823 [>.............................] - ETA: 1:56 - loss: 55.0007 - logits_profile_predictions_loss: 54.6039 - logcount_predictions_loss: 0.3968 41/823 [>.............................] - ETA: 1:56 - loss: 54.8752 - logits_profile_predictions_loss: 54.4827 - logcount_predictions_loss: 0.3926 42/823 [>.............................] - ETA: 1:55 - loss: 54.7407 - logits_profile_predictions_loss: 54.3511 - logcount_predictions_loss: 0.3896 43/823 [>.............................] - ETA: 1:55 - loss: 54.5320 - logits_profile_predictions_loss: 54.1435 - logcount_predictions_loss: 0.3886 44/823 [>.............................] - ETA: 1:55 - loss: 54.5271 - logits_profile_predictions_loss: 54.1404 - logcount_predictions_loss: 0.3867 45/823 [>.............................] - ETA: 1:55 - loss: 54.5785 - logits_profile_predictions_loss: 54.1909 - logcount_predictions_loss: 0.3876 46/823 [>.............................] - ETA: 1:55 - loss: 54.7242 - logits_profile_predictions_loss: 54.3361 - logcount_predictions_loss: 0.3881 47/823 [>.............................] - ETA: 1:55 - loss: 54.5473 - logits_profile_predictions_loss: 54.1610 - logcount_predictions_loss: 0.3863 48/823 [>.............................] - ETA: 1:55 - loss: 54.3513 - logits_profile_predictions_loss: 53.9642 - logcount_predictions_loss: 0.3871 49/823 [>.............................] - ETA: 1:54 - loss: 54.4460 - logits_profile_predictions_loss: 54.0594 - logcount_predictions_loss: 0.3866 50/823 [>.............................] - ETA: 1:54 - loss: 54.3538 - logits_profile_predictions_loss: 53.9678 - logcount_predictions_loss: 0.3860 51/823 [>.............................] - ETA: 1:54 - loss: 54.2391 - logits_profile_predictions_loss: 53.8480 - logcount_predictions_loss: 0.3911 52/823 [>.............................] - ETA: 1:54 - loss: 54.0073 - logits_profile_predictions_loss: 53.6150 - logcount_predictions_loss: 0.3923 53/823 [>.............................] - ETA: 1:54 - loss: 54.0641 - logits_profile_predictions_loss: 53.6733 - logcount_predictions_loss: 0.3908 54/823 [>.............................] - ETA: 1:54 - loss: 54.2327 - logits_profile_predictions_loss: 53.8417 - logcount_predictions_loss: 0.3910 55/823 [=>............................] - ETA: 1:54 - loss: 54.1062 - logits_profile_predictions_loss: 53.7153 - logcount_predictions_loss: 0.3910 56/823 [=>............................] - ETA: 1:53 - loss: 54.1610 - logits_profile_predictions_loss: 53.7699 - logcount_predictions_loss: 0.3911 57/823 [=>............................] - ETA: 1:53 - loss: 54.2025 - logits_profile_predictions_loss: 53.8125 - logcount_predictions_loss: 0.3900 58/823 [=>............................] - ETA: 1:53 - loss: 54.1212 - logits_profile_predictions_loss: 53.7331 - logcount_predictions_loss: 0.3881 59/823 [=>............................] - ETA: 1:53 - loss: 53.9267 - logits_profile_predictions_loss: 53.5383 - logcount_predictions_loss: 0.3884 60/823 [=>............................] - ETA: 1:53 - loss: 54.0148 - logits_profile_predictions_loss: 53.6258 - logcount_predictions_loss: 0.3890 61/823 [=>............................] - ETA: 1:53 - loss: 53.9697 - logits_profile_predictions_loss: 53.5808 - logcount_predictions_loss: 0.3889 62/823 [=>............................] - ETA: 1:52 - loss: 53.9202 - logits_profile_predictions_loss: 53.5311 - logcount_predictions_loss: 0.3891 63/823 [=>............................] - ETA: 1:52 - loss: 53.8968 - logits_profile_predictions_loss: 53.5078 - logcount_predictions_loss: 0.3889 64/823 [=>............................] - ETA: 1:52 - loss: 53.9059 - logits_profile_predictions_loss: 53.5142 - logcount_predictions_loss: 0.3917 65/823 [=>............................] - ETA: 1:52 - loss: 53.9801 - logits_profile_predictions_loss: 53.5874 - logcount_predictions_loss: 0.3927 66/823 [=>............................] - ETA: 1:52 - loss: 53.9795 - logits_profile_predictions_loss: 53.5857 - logcount_predictions_loss: 0.3938 67/823 [=>............................] - ETA: 1:52 - loss: 54.0906 - logits_profile_predictions_loss: 53.6969 - logcount_predictions_loss: 0.3937 68/823 [=>............................] - ETA: 1:52 - loss: 53.9812 - logits_profile_predictions_loss: 53.5872 - logcount_predictions_loss: 0.3940 69/823 [=>............................] - ETA: 1:51 - loss: 53.8662 - logits_profile_predictions_loss: 53.4737 - logcount_predictions_loss: 0.3925 70/823 [=>............................] - ETA: 1:51 - loss: 53.7953 - logits_profile_predictions_loss: 53.4046 - logcount_predictions_loss: 0.3907 71/823 [=>............................] - ETA: 1:51 - loss: 53.7330 - logits_profile_predictions_loss: 53.3428 - logcount_predictions_loss: 0.3902 72/823 [=>............................] - ETA: 1:51 - loss: 53.6682 - logits_profile_predictions_loss: 53.2783 - logcount_predictions_loss: 0.3899 73/823 [=>............................] - ETA: 1:51 - loss: 53.6687 - logits_profile_predictions_loss: 53.2799 - logcount_predictions_loss: 0.3888 74/823 [=>............................] - ETA: 1:51 - loss: 53.7087 - logits_profile_predictions_loss: 53.3209 - logcount_predictions_loss: 0.3878 75/823 [=>............................] - ETA: 1:51 - loss: 53.8822 - logits_profile_predictions_loss: 53.4942 - logcount_predictions_loss: 0.3880 76/823 [=>............................] - ETA: 1:50 - loss: 53.8669 - logits_profile_predictions_loss: 53.4786 - logcount_predictions_loss: 0.3883 77/823 [=>............................] - ETA: 1:50 - loss: 53.8535 - logits_profile_predictions_loss: 53.4649 - logcount_predictions_loss: 0.3886 78/823 [=>............................] - ETA: 1:50 - loss: 53.7699 - logits_profile_predictions_loss: 53.3803 - logcount_predictions_loss: 0.3896 79/823 [=>............................] - ETA: 1:50 - loss: 53.8466 - logits_profile_predictions_loss: 53.4576 - logcount_predictions_loss: 0.3890 80/823 [=>............................] - ETA: 1:50 - loss: 53.7666 - logits_profile_predictions_loss: 53.3785 - logcount_predictions_loss: 0.3881 81/823 [=>............................] - ETA: 1:50 - loss: 53.7296 - logits_profile_predictions_loss: 53.3408 - logcount_predictions_loss: 0.3888 82/823 [=>............................] - ETA: 1:50 - loss: 53.7123 - logits_profile_predictions_loss: 53.3224 - logcount_predictions_loss: 0.3898 83/823 [==>...........................] - ETA: 1:49 - loss: 53.7370 - logits_profile_predictions_loss: 53.3467 - logcount_predictions_loss: 0.3903 84/823 [==>...........................] - ETA: 1:49 - loss: 53.7065 - logits_profile_predictions_loss: 53.3159 - logcount_predictions_loss: 0.3906 85/823 [==>...........................] - ETA: 1:49 - loss: 53.6469 - logits_profile_predictions_loss: 53.2556 - logcount_predictions_loss: 0.3912 86/823 [==>...........................] - ETA: 1:49 - loss: 53.4926 - logits_profile_predictions_loss: 53.1020 - logcount_predictions_loss: 0.3907 87/823 [==>...........................] - ETA: 1:49 - loss: 53.5722 - logits_profile_predictions_loss: 53.1815 - logcount_predictions_loss: 0.3908 88/823 [==>...........................] - ETA: 1:49 - loss: 53.6114 - logits_profile_predictions_loss: 53.2216 - logcount_predictions_loss: 0.3898 89/823 [==>...........................] - ETA: 1:48 - loss: 53.6257 - logits_profile_predictions_loss: 53.2358 - logcount_predictions_loss: 0.3899 90/823 [==>...........................] - ETA: 1:48 - loss: 53.6114 - logits_profile_predictions_loss: 53.2206 - logcount_predictions_loss: 0.3908 91/823 [==>...........................] - ETA: 1:48 - loss: 53.6386 - logits_profile_predictions_loss: 53.2477 - logcount_predictions_loss: 0.3908 92/823 [==>...........................] - ETA: 1:48 - loss: 53.6822 - logits_profile_predictions_loss: 53.2917 - logcount_predictions_loss: 0.3905 93/823 [==>...........................] - ETA: 1:48 - loss: 53.7843 - logits_profile_predictions_loss: 53.3931 - logcount_predictions_loss: 0.3912 94/823 [==>...........................] - ETA: 1:48 - loss: 53.7121 - logits_profile_predictions_loss: 53.3227 - logcount_predictions_loss: 0.3895 95/823 [==>...........................] - ETA: 1:48 - loss: 53.6271 - logits_profile_predictions_loss: 53.2372 - logcount_predictions_loss: 0.3900 96/823 [==>...........................] - ETA: 1:47 - loss: 53.6234 - logits_profile_predictions_loss: 53.2323 - logcount_predictions_loss: 0.3911 97/823 [==>...........................] - ETA: 1:47 - loss: 53.7093 - logits_profile_predictions_loss: 53.3175 - logcount_predictions_loss: 0.3918 98/823 [==>...........................] - ETA: 1:47 - loss: 53.8354 - logits_profile_predictions_loss: 53.4428 - logcount_predictions_loss: 0.3926 99/823 [==>...........................] - ETA: 1:47 - loss: 53.8605 - logits_profile_predictions_loss: 53.4678 - logcount_predictions_loss: 0.3927 100/823 [==>...........................] - ETA: 1:47 - loss: 53.8916 - logits_profile_predictions_loss: 53.4980 - logcount_predictions_loss: 0.3937 101/823 [==>...........................] - ETA: 1:47 - loss: 53.9098 - logits_profile_predictions_loss: 53.5163 - logcount_predictions_loss: 0.3936 102/823 [==>...........................] - ETA: 1:47 - loss: 53.9122 - logits_profile_predictions_loss: 53.5161 - logcount_predictions_loss: 0.3961 103/823 [==>...........................] - ETA: 1:46 - loss: 53.9611 - logits_profile_predictions_loss: 53.5657 - logcount_predictions_loss: 0.3954 104/823 [==>...........................] - ETA: 1:46 - loss: 53.9040 - logits_profile_predictions_loss: 53.5097 - logcount_predictions_loss: 0.3943 105/823 [==>...........................] - ETA: 1:46 - loss: 53.9433 - logits_profile_predictions_loss: 53.5491 - logcount_predictions_loss: 0.3942 106/823 [==>...........................] - ETA: 1:46 - loss: 53.8842 - logits_profile_predictions_loss: 53.4898 - logcount_predictions_loss: 0.3944 107/823 [==>...........................] - ETA: 1:46 - loss: 53.8969 - logits_profile_predictions_loss: 53.5008 - logcount_predictions_loss: 0.3961 108/823 [==>...........................] - ETA: 1:46 - loss: 53.8841 - logits_profile_predictions_loss: 53.4878 - logcount_predictions_loss: 0.3963 109/823 [==>...........................] - ETA: 1:46 - loss: 53.7849 - logits_profile_predictions_loss: 53.3883 - logcount_predictions_loss: 0.3966 110/823 [===>..........................] - ETA: 1:45 - loss: 53.8736 - logits_profile_predictions_loss: 53.4774 - logcount_predictions_loss: 0.3963 111/823 [===>..........................] - ETA: 1:45 - loss: 53.8838 - logits_profile_predictions_loss: 53.4856 - logcount_predictions_loss: 0.3982 112/823 [===>..........................] - ETA: 1:45 - loss: 53.9628 - logits_profile_predictions_loss: 53.5641 - logcount_predictions_loss: 0.3987 113/823 [===>..........................] - ETA: 1:45 - loss: 53.9566 - logits_profile_predictions_loss: 53.5582 - logcount_predictions_loss: 0.3984 114/823 [===>..........................] - ETA: 1:45 - loss: 54.0123 - logits_profile_predictions_loss: 53.6141 - logcount_predictions_loss: 0.3982 115/823 [===>..........................] - ETA: 1:45 - loss: 54.0316 - logits_profile_predictions_loss: 53.6346 - logcount_predictions_loss: 0.3970 116/823 [===>..........................] - ETA: 1:44 - loss: 54.0310 - logits_profile_predictions_loss: 53.6339 - logcount_predictions_loss: 0.3971 117/823 [===>..........................] - ETA: 1:44 - loss: 54.0642 - logits_profile_predictions_loss: 53.6666 - logcount_predictions_loss: 0.3977 118/823 [===>..........................] - ETA: 1:44 - loss: 54.0995 - logits_profile_predictions_loss: 53.7028 - logcount_predictions_loss: 0.3968 119/823 [===>..........................] - ETA: 1:44 - loss: 54.1396 - logits_profile_predictions_loss: 53.7419 - logcount_predictions_loss: 0.3978 120/823 [===>..........................] - ETA: 1:44 - loss: 54.0839 - logits_profile_predictions_loss: 53.6859 - logcount_predictions_loss: 0.3980 121/823 [===>..........................] - ETA: 1:44 - loss: 54.0476 - logits_profile_predictions_loss: 53.6509 - logcount_predictions_loss: 0.3967 122/823 [===>..........................] - ETA: 1:44 - loss: 54.0616 - logits_profile_predictions_loss: 53.6640 - logcount_predictions_loss: 0.3977 123/823 [===>..........................] - ETA: 1:43 - loss: 54.1647 - logits_profile_predictions_loss: 53.7668 - logcount_predictions_loss: 0.3979 124/823 [===>..........................] - ETA: 1:43 - loss: 54.1076 - logits_profile_predictions_loss: 53.7105 - logcount_predictions_loss: 0.3971 125/823 [===>..........................] - ETA: 1:43 - loss: 54.1314 - logits_profile_predictions_loss: 53.7345 - logcount_predictions_loss: 0.3969 126/823 [===>..........................] - ETA: 1:43 - loss: 54.1582 - logits_profile_predictions_loss: 53.7623 - logcount_predictions_loss: 0.3959 127/823 [===>..........................] - ETA: 1:43 - loss: 54.2223 - logits_profile_predictions_loss: 53.8261 - logcount_predictions_loss: 0.3962 128/823 [===>..........................] - ETA: 1:43 - loss: 54.3073 - logits_profile_predictions_loss: 53.9113 - 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[============================>.] - ETA: 3s - loss: 53.8602 - logits_profile_predictions_loss: 53.4881 - logcount_predictions_loss: 0.3721 802/823 [============================>.] - ETA: 3s - loss: 53.8626 - logits_profile_predictions_loss: 53.4906 - logcount_predictions_loss: 0.3720 803/823 [============================>.] - ETA: 2s - loss: 53.8591 - logits_profile_predictions_loss: 53.4871 - logcount_predictions_loss: 0.3720 804/823 [============================>.] - ETA: 2s - loss: 53.8792 - logits_profile_predictions_loss: 53.5073 - logcount_predictions_loss: 0.3719 805/823 [============================>.] - ETA: 2s - loss: 53.8789 - logits_profile_predictions_loss: 53.5070 - logcount_predictions_loss: 0.3719 806/823 [============================>.] - ETA: 2s - loss: 53.8724 - logits_profile_predictions_loss: 53.5007 - logcount_predictions_loss: 0.3717 807/823 [============================>.] - ETA: 2s - loss: 53.8813 - logits_profile_predictions_loss: 53.5097 - 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logits_profile_predictions_loss: 53.4904 - logcount_predictions_loss: 0.3716 815/823 [============================>.] - ETA: 1s - loss: 53.8516 - logits_profile_predictions_loss: 53.4802 - logcount_predictions_loss: 0.3715 816/823 [============================>.] - ETA: 1s - loss: 53.8585 - logits_profile_predictions_loss: 53.4871 - logcount_predictions_loss: 0.3714 817/823 [============================>.] - ETA: 0s - loss: 53.8602 - logits_profile_predictions_loss: 53.4888 - logcount_predictions_loss: 0.3714 818/823 [============================>.] - ETA: 0s - loss: 53.8606 - logits_profile_predictions_loss: 53.4892 - logcount_predictions_loss: 0.3714 819/823 [============================>.] - ETA: 0s - loss: 53.8485 - logits_profile_predictions_loss: 53.4771 - logcount_predictions_loss: 0.3714 820/823 [============================>.] - ETA: 0s - loss: 53.8538 - logits_profile_predictions_loss: 53.4823 - logcount_predictions_loss: 0.3715 821/823 [============================>.] - ETA: 0s - loss: 53.8549 - logits_profile_predictions_loss: 53.4834 - logcount_predictions_loss: 0.3715 822/823 [============================>.] - ETA: 0s - loss: 53.8581 - logits_profile_predictions_loss: 53.4865 - logcount_predictions_loss: 0.3716 823/823 [==============================] - ETA: 0s - loss: 53.8709 - logits_profile_predictions_loss: 53.4993 - logcount_predictions_loss: 0.3716 Epoch 9: val_loss did not improve from 59.47170  823/823 [==============================] - 132s 161ms/step - loss: 53.8709 - logits_profile_predictions_loss: 53.4993 - logcount_predictions_loss: 0.3716 - val_loss: 60.0990 - val_logits_profile_predictions_loss: 59.7464 - val_logcount_predictions_loss: 0.3527 Epoch 10/50 1/823 [..............................] - ETA: 2:13 - loss: 65.7752 - logits_profile_predictions_loss: 65.3792 - logcount_predictions_loss: 0.3960 2/823 [..............................] - ETA: 2:00 - loss: 58.5622 - logits_profile_predictions_loss: 58.2212 - logcount_predictions_loss: 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- ETA: 14s - loss: 53.3562 - logits_profile_predictions_loss: 52.9835 - logcount_predictions_loss: 0.3727 723/823 [=========================>....] - ETA: 14s - loss: 53.3510 - logits_profile_predictions_loss: 52.9783 - logcount_predictions_loss: 0.3726 724/823 [=========================>....] - ETA: 14s - loss: 53.3616 - logits_profile_predictions_loss: 52.9892 - logcount_predictions_loss: 0.3724 725/823 [=========================>....] - ETA: 14s - loss: 53.3754 - logits_profile_predictions_loss: 53.0030 - logcount_predictions_loss: 0.3723 726/823 [=========================>....] - ETA: 14s - loss: 53.3812 - logits_profile_predictions_loss: 53.0088 - logcount_predictions_loss: 0.3724 727/823 [=========================>....] - ETA: 14s - loss: 53.3715 - logits_profile_predictions_loss: 52.9991 - logcount_predictions_loss: 0.3723 728/823 [=========================>....] - ETA: 14s - loss: 53.3811 - logits_profile_predictions_loss: 53.0087 - logcount_predictions_loss: 0.3723 729/823 [=========================>....] - ETA: 13s - loss: 53.3703 - logits_profile_predictions_loss: 52.9980 - logcount_predictions_loss: 0.3724 730/823 [=========================>....] - ETA: 13s - loss: 53.3576 - logits_profile_predictions_loss: 52.9852 - logcount_predictions_loss: 0.3724 731/823 [=========================>....] - ETA: 13s - loss: 53.3619 - logits_profile_predictions_loss: 52.9894 - logcount_predictions_loss: 0.3724 732/823 [=========================>....] - ETA: 13s - loss: 53.3729 - logits_profile_predictions_loss: 53.0005 - logcount_predictions_loss: 0.3724 733/823 [=========================>....] - ETA: 13s - loss: 53.3698 - logits_profile_predictions_loss: 52.9974 - logcount_predictions_loss: 0.3725 734/823 [=========================>....] - ETA: 13s - loss: 53.3628 - logits_profile_predictions_loss: 52.9905 - logcount_predictions_loss: 0.3723 735/823 [=========================>....] - ETA: 13s - loss: 53.3679 - logits_profile_predictions_loss: 52.9955 - logcount_predictions_loss: 0.3723 736/823 [=========================>....] - ETA: 12s - loss: 53.3733 - logits_profile_predictions_loss: 53.0009 - logcount_predictions_loss: 0.3724 737/823 [=========================>....] - ETA: 12s - loss: 53.3670 - logits_profile_predictions_loss: 52.9946 - logcount_predictions_loss: 0.3723 738/823 [=========================>....] - ETA: 12s - loss: 53.3557 - logits_profile_predictions_loss: 52.9835 - logcount_predictions_loss: 0.3722 739/823 [=========================>....] - ETA: 12s - loss: 53.3553 - logits_profile_predictions_loss: 52.9831 - logcount_predictions_loss: 0.3722 740/823 [=========================>....] - ETA: 12s - loss: 53.3504 - logits_profile_predictions_loss: 52.9783 - logcount_predictions_loss: 0.3721 741/823 [==========================>...] - ETA: 12s - loss: 53.3513 - logits_profile_predictions_loss: 52.9793 - logcount_predictions_loss: 0.3720 742/823 [==========================>...] - ETA: 12s - loss: 53.3398 - logits_profile_predictions_loss: 52.9678 - logcount_predictions_loss: 0.3720 743/823 [==========================>...] - ETA: 11s - loss: 53.3315 - logits_profile_predictions_loss: 52.9594 - logcount_predictions_loss: 0.3720 744/823 [==========================>...] - ETA: 11s - loss: 53.3443 - logits_profile_predictions_loss: 52.9723 - logcount_predictions_loss: 0.3720 745/823 [==========================>...] - ETA: 11s - loss: 53.3557 - logits_profile_predictions_loss: 52.9836 - logcount_predictions_loss: 0.3720 746/823 [==========================>...] - ETA: 11s - loss: 53.3592 - logits_profile_predictions_loss: 52.9871 - logcount_predictions_loss: 0.3721 747/823 [==========================>...] - ETA: 11s - loss: 53.3522 - logits_profile_predictions_loss: 52.9802 - logcount_predictions_loss: 0.3720 748/823 [==========================>...] - ETA: 11s - loss: 53.3486 - logits_profile_predictions_loss: 52.9767 - logcount_predictions_loss: 0.3719 749/823 [==========================>...] - ETA: 10s - loss: 53.3504 - logits_profile_predictions_loss: 52.9785 - logcount_predictions_loss: 0.3719 750/823 [==========================>...] - ETA: 10s - loss: 53.3394 - logits_profile_predictions_loss: 52.9676 - logcount_predictions_loss: 0.3718 751/823 [==========================>...] - ETA: 10s - loss: 53.3359 - logits_profile_predictions_loss: 52.9642 - logcount_predictions_loss: 0.3717 752/823 [==========================>...] - ETA: 10s - loss: 53.3490 - logits_profile_predictions_loss: 52.9771 - logcount_predictions_loss: 0.3718 753/823 [==========================>...] - ETA: 10s - loss: 53.3455 - logits_profile_predictions_loss: 52.9736 - logcount_predictions_loss: 0.3719 754/823 [==========================>...] - ETA: 10s - loss: 53.3430 - logits_profile_predictions_loss: 52.9712 - logcount_predictions_loss: 0.3718 755/823 [==========================>...] - ETA: 10s - loss: 53.3474 - logits_profile_predictions_loss: 52.9757 - logcount_predictions_loss: 0.3717 756/823 [==========================>...] - ETA: 9s - loss: 53.3564 - logits_profile_predictions_loss: 52.9847 - logcount_predictions_loss: 0.3717  757/823 [==========================>...] - ETA: 9s - loss: 53.3444 - logits_profile_predictions_loss: 52.9727 - logcount_predictions_loss: 0.3716 758/823 [==========================>...] - ETA: 9s - loss: 53.3381 - logits_profile_predictions_loss: 52.9666 - logcount_predictions_loss: 0.3715 759/823 [==========================>...] - ETA: 9s - loss: 53.3471 - logits_profile_predictions_loss: 52.9756 - logcount_predictions_loss: 0.3714 760/823 [==========================>...] - ETA: 9s - loss: 53.3480 - logits_profile_predictions_loss: 52.9767 - logcount_predictions_loss: 0.3713 761/823 [==========================>...] - ETA: 9s - loss: 53.3606 - logits_profile_predictions_loss: 52.9893 - logcount_predictions_loss: 0.3712 762/823 [==========================>...] - ETA: 9s - loss: 53.3619 - logits_profile_predictions_loss: 52.9908 - logcount_predictions_loss: 0.3711 763/823 [==========================>...] - ETA: 8s - loss: 53.3600 - logits_profile_predictions_loss: 52.9890 - logcount_predictions_loss: 0.3710 764/823 [==========================>...] - ETA: 8s - loss: 53.3775 - logits_profile_predictions_loss: 53.0065 - logcount_predictions_loss: 0.3710 765/823 [==========================>...] - ETA: 8s - loss: 53.3842 - logits_profile_predictions_loss: 53.0132 - logcount_predictions_loss: 0.3709 766/823 [==========================>...] - ETA: 8s - loss: 53.3880 - logits_profile_predictions_loss: 53.0170 - logcount_predictions_loss: 0.3709 767/823 [==========================>...] - ETA: 8s - loss: 53.3913 - logits_profile_predictions_loss: 53.0202 - logcount_predictions_loss: 0.3711 768/823 [==========================>...] - ETA: 8s - loss: 53.4011 - logits_profile_predictions_loss: 53.0301 - logcount_predictions_loss: 0.3710 769/823 [===========================>..] - ETA: 8s - loss: 53.3961 - logits_profile_predictions_loss: 53.0252 - logcount_predictions_loss: 0.3709 770/823 [===========================>..] - ETA: 7s - loss: 53.4047 - logits_profile_predictions_loss: 53.0338 - logcount_predictions_loss: 0.3709 771/823 [===========================>..] - ETA: 7s - loss: 53.4018 - logits_profile_predictions_loss: 53.0308 - logcount_predictions_loss: 0.3709 772/823 [===========================>..] - ETA: 7s - loss: 53.3998 - logits_profile_predictions_loss: 53.0289 - logcount_predictions_loss: 0.3708 773/823 [===========================>..] - ETA: 7s - loss: 53.4025 - logits_profile_predictions_loss: 53.0317 - logcount_predictions_loss: 0.3708 774/823 [===========================>..] - ETA: 7s - loss: 53.4023 - logits_profile_predictions_loss: 53.0313 - logcount_predictions_loss: 0.3709 775/823 [===========================>..] - ETA: 7s - loss: 53.4066 - logits_profile_predictions_loss: 53.0357 - logcount_predictions_loss: 0.3709 776/823 [===========================>..] - ETA: 6s - loss: 53.4126 - logits_profile_predictions_loss: 53.0416 - logcount_predictions_loss: 0.3710 777/823 [===========================>..] - ETA: 6s - loss: 53.4141 - logits_profile_predictions_loss: 53.0432 - logcount_predictions_loss: 0.3709 778/823 [===========================>..] - ETA: 6s - loss: 53.4072 - logits_profile_predictions_loss: 53.0365 - logcount_predictions_loss: 0.3707 779/823 [===========================>..] - ETA: 6s - loss: 53.3964 - logits_profile_predictions_loss: 53.0258 - logcount_predictions_loss: 0.3706 780/823 [===========================>..] - ETA: 6s - loss: 53.3943 - logits_profile_predictions_loss: 53.0238 - logcount_predictions_loss: 0.3705 781/823 [===========================>..] - ETA: 6s - loss: 53.3787 - logits_profile_predictions_loss: 53.0083 - logcount_predictions_loss: 0.3704 782/823 [===========================>..] - ETA: 6s - loss: 53.3837 - logits_profile_predictions_loss: 53.0133 - logcount_predictions_loss: 0.3704 783/823 [===========================>..] - ETA: 5s - loss: 53.3821 - logits_profile_predictions_loss: 53.0116 - logcount_predictions_loss: 0.3705 784/823 [===========================>..] - ETA: 5s - loss: 53.3761 - logits_profile_predictions_loss: 53.0056 - logcount_predictions_loss: 0.3705 785/823 [===========================>..] - ETA: 5s - loss: 53.3722 - logits_profile_predictions_loss: 53.0014 - logcount_predictions_loss: 0.3708 786/823 [===========================>..] - ETA: 5s - loss: 53.3564 - logits_profile_predictions_loss: 52.9857 - logcount_predictions_loss: 0.3707 787/823 [===========================>..] - ETA: 5s - loss: 53.3611 - logits_profile_predictions_loss: 52.9905 - logcount_predictions_loss: 0.3706 788/823 [===========================>..] - ETA: 5s - loss: 53.3613 - logits_profile_predictions_loss: 52.9907 - logcount_predictions_loss: 0.3706 789/823 [===========================>..] - ETA: 5s - loss: 53.3554 - logits_profile_predictions_loss: 52.9849 - logcount_predictions_loss: 0.3705 790/823 [===========================>..] - ETA: 4s - loss: 53.3521 - logits_profile_predictions_loss: 52.9816 - logcount_predictions_loss: 0.3705 791/823 [===========================>..] - ETA: 4s - loss: 53.3478 - logits_profile_predictions_loss: 52.9773 - logcount_predictions_loss: 0.3705 792/823 [===========================>..] - ETA: 4s - loss: 53.3353 - logits_profile_predictions_loss: 52.9648 - logcount_predictions_loss: 0.3705 793/823 [===========================>..] - ETA: 4s - loss: 53.3439 - logits_profile_predictions_loss: 52.9736 - logcount_predictions_loss: 0.3704 794/823 [===========================>..] - ETA: 4s - loss: 53.3538 - logits_profile_predictions_loss: 52.9833 - logcount_predictions_loss: 0.3705 795/823 [===========================>..] - ETA: 4s - loss: 53.3497 - logits_profile_predictions_loss: 52.9792 - logcount_predictions_loss: 0.3704 796/823 [============================>.] - ETA: 4s - loss: 53.3602 - logits_profile_predictions_loss: 52.9897 - logcount_predictions_loss: 0.3705 797/823 [============================>.] - ETA: 3s - loss: 53.3639 - logits_profile_predictions_loss: 52.9934 - logcount_predictions_loss: 0.3705 798/823 [============================>.] - ETA: 3s - loss: 53.3563 - logits_profile_predictions_loss: 52.9857 - logcount_predictions_loss: 0.3705 799/823 [============================>.] - ETA: 3s - loss: 53.3577 - logits_profile_predictions_loss: 52.9871 - logcount_predictions_loss: 0.3706 800/823 [============================>.] - ETA: 3s - loss: 53.3575 - logits_profile_predictions_loss: 52.9867 - logcount_predictions_loss: 0.3708 801/823 [============================>.] - ETA: 3s - loss: 53.3560 - logits_profile_predictions_loss: 52.9852 - logcount_predictions_loss: 0.3708 802/823 [============================>.] - ETA: 3s - loss: 53.3496 - logits_profile_predictions_loss: 52.9789 - logcount_predictions_loss: 0.3707 803/823 [============================>.] - ETA: 2s - loss: 53.3405 - logits_profile_predictions_loss: 52.9697 - logcount_predictions_loss: 0.3708 804/823 [============================>.] - ETA: 2s - loss: 53.3530 - logits_profile_predictions_loss: 52.9822 - logcount_predictions_loss: 0.3708 805/823 [============================>.] - ETA: 2s - loss: 53.3328 - logits_profile_predictions_loss: 52.9621 - logcount_predictions_loss: 0.3707 806/823 [============================>.] - ETA: 2s - loss: 53.3401 - logits_profile_predictions_loss: 52.9693 - logcount_predictions_loss: 0.3708 807/823 [============================>.] - ETA: 2s - loss: 53.3353 - logits_profile_predictions_loss: 52.9646 - logcount_predictions_loss: 0.3706 808/823 [============================>.] - ETA: 2s - loss: 53.3386 - logits_profile_predictions_loss: 52.9680 - logcount_predictions_loss: 0.3706 809/823 [============================>.] - ETA: 2s - loss: 53.3313 - logits_profile_predictions_loss: 52.9607 - logcount_predictions_loss: 0.3706 810/823 [============================>.] - ETA: 1s - loss: 53.3319 - logits_profile_predictions_loss: 52.9612 - logcount_predictions_loss: 0.3706 811/823 [============================>.] - ETA: 1s - loss: 53.3158 - logits_profile_predictions_loss: 52.9451 - logcount_predictions_loss: 0.3707 812/823 [============================>.] - ETA: 1s - loss: 53.3223 - logits_profile_predictions_loss: 52.9517 - logcount_predictions_loss: 0.3706 813/823 [============================>.] - ETA: 1s - loss: 53.3183 - logits_profile_predictions_loss: 52.9478 - logcount_predictions_loss: 0.3705 814/823 [============================>.] - ETA: 1s - loss: 53.3159 - logits_profile_predictions_loss: 52.9456 - logcount_predictions_loss: 0.3703 815/823 [============================>.] - ETA: 1s - loss: 53.2986 - logits_profile_predictions_loss: 52.9283 - logcount_predictions_loss: 0.3702 816/823 [============================>.] - ETA: 1s - loss: 53.3084 - logits_profile_predictions_loss: 52.9381 - logcount_predictions_loss: 0.3703 817/823 [============================>.] - ETA: 0s - loss: 53.3051 - logits_profile_predictions_loss: 52.9350 - logcount_predictions_loss: 0.3701 818/823 [============================>.] - ETA: 0s - loss: 53.3039 - logits_profile_predictions_loss: 52.9337 - logcount_predictions_loss: 0.3701 819/823 [============================>.] - ETA: 0s - loss: 53.3016 - logits_profile_predictions_loss: 52.9315 - logcount_predictions_loss: 0.3701 820/823 [============================>.] - ETA: 0s - loss: 53.3053 - logits_profile_predictions_loss: 52.9352 - logcount_predictions_loss: 0.3701 821/823 [============================>.] - ETA: 0s - loss: 53.3110 - logits_profile_predictions_loss: 52.9410 - logcount_predictions_loss: 0.3700 822/823 [============================>.] - ETA: 0s - loss: 53.3103 - logits_profile_predictions_loss: 52.9403 - logcount_predictions_loss: 0.3699 823/823 [==============================] - ETA: 0s - loss: 53.3068 - logits_profile_predictions_loss: 52.9370 - logcount_predictions_loss: 0.3698 Epoch 10: val_loss did not improve from 59.47170 Restoring model weights from the end of the best epoch: 5.  823/823 [==============================] - 132s 161ms/step - loss: 53.3068 - logits_profile_predictions_loss: 52.9370 - logcount_predictions_loss: 0.3698 - val_loss: 60.6180 - val_logits_profile_predictions_loss: 60.2736 - val_logcount_predictions_loss: 0.3445 Epoch 10: early stopping save model save model without bias got the model loading peaks... got split:test for bed regions:(12049, 10) 0/189 100/189 MOTIF_NAME MOTIF_PWM_FWD 0 tn5_1 GCACAGTACAGAGCTG 1 tn5_2 GTGCACAGTTCTAGAGTGTGCAG 2 tn5_3 CCTCTACACTGTGCAGAA 3 tn5_4 GCACAGTTCTAGACTGTGCAG 4 tn5_5 CTGCACAGTGTAGAGTTGTGC got the model Model: "model_1" __________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ================================================================================================== sequence (InputLayer) [(None, 2114, 4)] 0 [] wo_bias_bpnet_1st_conv (Conv1D (None, 2094, 512) 43520 ['sequence[0][0]'] ) wo_bias_bpnet_1conv (Conv1D) (None, 2090, 512) 786944 ['wo_bias_bpnet_1st_conv[0][0]'] wo_bias_bpnet_1crop (Cropping1 (None, 2090, 512) 0 ['wo_bias_bpnet_1st_conv[0][0]'] D) add (Add) (None, 2090, 512) 0 ['wo_bias_bpnet_1conv[0][0]', 'wo_bias_bpnet_1crop[0][0]'] wo_bias_bpnet_2conv (Conv1D) (None, 2082, 512) 786944 ['add[0][0]'] wo_bias_bpnet_2crop (Cropping1 (None, 2082, 512) 0 ['add[0][0]'] D) add_1 (Add) (None, 2082, 512) 0 ['wo_bias_bpnet_2conv[0][0]', 'wo_bias_bpnet_2crop[0][0]'] wo_bias_bpnet_3conv (Conv1D) (None, 2066, 512) 786944 ['add_1[0][0]'] wo_bias_bpnet_3crop (Cropping1 (None, 2066, 512) 0 ['add_1[0][0]'] D) add_2 (Add) (None, 2066, 512) 0 ['wo_bias_bpnet_3conv[0][0]', 'wo_bias_bpnet_3crop[0][0]'] wo_bias_bpnet_4conv (Conv1D) (None, 2034, 512) 786944 ['add_2[0][0]'] wo_bias_bpnet_4crop (Cropping1 (None, 2034, 512) 0 ['add_2[0][0]'] D) add_3 (Add) (None, 2034, 512) 0 ['wo_bias_bpnet_4conv[0][0]', 'wo_bias_bpnet_4crop[0][0]'] wo_bias_bpnet_5conv (Conv1D) (None, 1970, 512) 786944 ['add_3[0][0]'] wo_bias_bpnet_5crop (Cropping1 (None, 1970, 512) 0 ['add_3[0][0]'] D) add_4 (Add) (None, 1970, 512) 0 ['wo_bias_bpnet_5conv[0][0]', 'wo_bias_bpnet_5crop[0][0]'] wo_bias_bpnet_6conv (Conv1D) (None, 1842, 512) 786944 ['add_4[0][0]'] wo_bias_bpnet_6crop (Cropping1 (None, 1842, 512) 0 ['add_4[0][0]'] D) add_5 (Add) (None, 1842, 512) 0 ['wo_bias_bpnet_6conv[0][0]', 'wo_bias_bpnet_6crop[0][0]'] wo_bias_bpnet_7conv (Conv1D) (None, 1586, 512) 786944 ['add_5[0][0]'] wo_bias_bpnet_7crop (Cropping1 (None, 1586, 512) 0 ['add_5[0][0]'] D) add_6 (Add) (None, 1586, 512) 0 ['wo_bias_bpnet_7conv[0][0]', 'wo_bias_bpnet_7crop[0][0]'] wo_bias_bpnet_8conv (Conv1D) (None, 1074, 512) 786944 ['add_6[0][0]'] wo_bias_bpnet_8crop (Cropping1 (None, 1074, 512) 0 ['add_6[0][0]'] D) add_7 (Add) (None, 1074, 512) 0 ['wo_bias_bpnet_8conv[0][0]', 'wo_bias_bpnet_8crop[0][0]'] wo_bias_bpnet_prof_out_precrop (None, 1000, 1) 38401 ['add_7[0][0]'] (Conv1D) wo_bias_bpnet_logitt_before_fl (None, 1000, 1) 0 ['wo_bias_bpnet_prof_out_precrop[ atten (Cropping1D) 0][0]'] gap (GlobalAveragePooling1D) (None, 512) 0 ['add_7[0][0]'] wo_bias_bpnet_logits_profile_p (None, 1000) 0 ['wo_bias_bpnet_logitt_before_fla redictions (Flatten) tten[0][0]'] wo_bias_bpnet_logcount_predict (None, 1) 513 ['gap[0][0]'] ions (Dense) ================================================================================================== Total params: 6,377,986 Trainable params: 6,377,986 Non-trainable params: 0 __________________________________________________________________________________________________ inferred model inputlen: 2114 inferred model outputlen: 1000 inserting motif: control 1/189 [..............................] - ETA: 43s 2/189 [..............................] - ETA: 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- ETA: 4s 111/189 [================>.............] - ETA: 4s 112/189 [================>.............] - ETA: 4s 113/189 [================>.............] - ETA: 4s 114/189 [=================>............] - ETA: 3s 115/189 [=================>............] - ETA: 3s 116/189 [=================>............] - ETA: 3s 117/189 [=================>............] - ETA: 3s 118/189 [=================>............] - ETA: 3s 119/189 [=================>............] - ETA: 3s 120/189 [==================>...........] - ETA: 3s 121/189 [==================>...........] - ETA: 3s 122/189 [==================>...........] - ETA: 3s 123/189 [==================>...........] - ETA: 3s 124/189 [==================>...........] - ETA: 3s 125/189 [==================>...........] - ETA: 3s 126/189 [===================>..........] - ETA: 3s 127/189 [===================>..........] - ETA: 3s 128/189 [===================>..........] - ETA: 3s 129/189 [===================>..........] - ETA: 3s 130/189 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[============================>.] - ETA: 0s 188/189 [============================>.] - ETA: 0s 189/189 [==============================] - ETA: 0s 189/189 [==============================] - 10s 53ms/step inserting motif: tn5_3 CCTCTACACTGTGCAGAA 1/189 [..............................] - ETA: 4s 2/189 [..............................] - ETA: 9s 3/189 [..............................] - ETA: 9s 4/189 [..............................] - ETA: 9s 5/189 [..............................] - ETA: 9s 6/189 [..............................] - ETA: 9s 7/189 [>.............................] - ETA: 9s 8/189 [>.............................] - ETA: 9s 9/189 [>.............................] - ETA: 9s 10/189 [>.............................] - ETA: 9s 11/189 [>.............................] - ETA: 9s 13/189 [=>............................] - ETA: 9s 14/189 [=>............................] - ETA: 9s 15/189 [=>............................] - ETA: 9s 16/189 [=>............................] - ETA: 9s 17/189 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[==============>...............] - ETA: 4s 98/189 [==============>...............] - ETA: 4s 99/189 [==============>...............] - ETA: 4s 100/189 [==============>...............] - ETA: 4s 101/189 [===============>..............] - ETA: 4s 102/189 [===============>..............] - ETA: 4s 103/189 [===============>..............] - ETA: 4s 104/189 [===============>..............] - ETA: 4s 105/189 [===============>..............] - ETA: 4s 106/189 [===============>..............] - ETA: 4s 107/189 [===============>..............] - ETA: 4s 108/189 [================>.............] - ETA: 4s 109/189 [================>.............] - ETA: 4s 110/189 [================>.............] - ETA: 4s 111/189 [================>.............] - ETA: 4s 112/189 [================>.............] - ETA: 4s 113/189 [================>.............] - ETA: 4s 114/189 [=================>............] - ETA: 3s 115/189 [=================>............] - ETA: 3s 116/189 [=================>............] 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[==============================] - 10s 53ms/step inserting motif: tn5_5 CTGCACAGTGTAGAGTTGTGC 1/189 [..............................] - ETA: 4s 2/189 [..............................] - ETA: 10s 3/189 [..............................] - ETA: 9s  4/189 [..............................] - ETA: 9s 5/189 [..............................] - ETA: 9s 6/189 [..............................] - ETA: 9s 7/189 [>.............................] - ETA: 9s 8/189 [>.............................] - ETA: 9s 9/189 [>.............................] - ETA: 9s 10/189 [>.............................] - ETA: 9s 11/189 [>.............................] - ETA: 9s 12/189 [>.............................] - ETA: 9s 13/189 [=>............................] - ETA: 9s 14/189 [=>............................] - ETA: 9s 15/189 [=>............................] - ETA: 9s 16/189 [=>............................] - ETA: 9s 17/189 [=>............................] - ETA: 9s 18/189 [=>............................] - ETA: 9s 19/189 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[===========================>..] - ETA: 0s 183/189 [============================>.] - ETA: 0s 184/189 [============================>.] - ETA: 0s 185/189 [============================>.] - ETA: 0s 186/189 [============================>.] - ETA: 0s 187/189 [============================>.] - ETA: 0s 188/189 [============================>.] - ETA: 0s 189/189 [==============================] - ETA: 0s 189/189 [==============================] - 10s 53ms/step Saving marginal footprints got the model Model: "model_1" __________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ================================================================================================== sequence (InputLayer) [(None, 2114, 4)] 0 [] wo_bias_bpnet_1st_conv (Conv1D (None, 2094, 512) 43520 ['sequence[0][0]'] ) wo_bias_bpnet_1conv (Conv1D) (None, 2090, 512) 786944 ['wo_bias_bpnet_1st_conv[0][0]'] wo_bias_bpnet_1crop (Cropping1 (None, 2090, 512) 0 ['wo_bias_bpnet_1st_conv[0][0]'] D) add (Add) (None, 2090, 512) 0 ['wo_bias_bpnet_1conv[0][0]', 'wo_bias_bpnet_1crop[0][0]'] wo_bias_bpnet_2conv (Conv1D) (None, 2082, 512) 786944 ['add[0][0]'] wo_bias_bpnet_2crop (Cropping1 (None, 2082, 512) 0 ['add[0][0]'] D) add_1 (Add) (None, 2082, 512) 0 ['wo_bias_bpnet_2conv[0][0]', 'wo_bias_bpnet_2crop[0][0]'] wo_bias_bpnet_3conv (Conv1D) (None, 2066, 512) 786944 ['add_1[0][0]'] wo_bias_bpnet_3crop (Cropping1 (None, 2066, 512) 0 ['add_1[0][0]'] D) add_2 (Add) (None, 2066, 512) 0 ['wo_bias_bpnet_3conv[0][0]', 'wo_bias_bpnet_3crop[0][0]'] wo_bias_bpnet_4conv (Conv1D) (None, 2034, 512) 786944 ['add_2[0][0]'] wo_bias_bpnet_4crop (Cropping1 (None, 2034, 512) 0 ['add_2[0][0]'] D) add_3 (Add) (None, 2034, 512) 0 ['wo_bias_bpnet_4conv[0][0]', 'wo_bias_bpnet_4crop[0][0]'] wo_bias_bpnet_5conv (Conv1D) (None, 1970, 512) 786944 ['add_3[0][0]'] wo_bias_bpnet_5crop (Cropping1 (None, 1970, 512) 0 ['add_3[0][0]'] D) add_4 (Add) (None, 1970, 512) 0 ['wo_bias_bpnet_5conv[0][0]', 'wo_bias_bpnet_5crop[0][0]'] wo_bias_bpnet_6conv (Conv1D) (None, 1842, 512) 786944 ['add_4[0][0]'] wo_bias_bpnet_6crop (Cropping1 (None, 1842, 512) 0 ['add_4[0][0]'] D) add_5 (Add) (None, 1842, 512) 0 ['wo_bias_bpnet_6conv[0][0]', 'wo_bias_bpnet_6crop[0][0]'] wo_bias_bpnet_7conv (Conv1D) (None, 1586, 512) 786944 ['add_5[0][0]'] wo_bias_bpnet_7crop (Cropping1 (None, 1586, 512) 0 ['add_5[0][0]'] D) add_6 (Add) (None, 1586, 512) 0 ['wo_bias_bpnet_7conv[0][0]', 'wo_bias_bpnet_7crop[0][0]'] wo_bias_bpnet_8conv (Conv1D) (None, 1074, 512) 786944 ['add_6[0][0]'] wo_bias_bpnet_8crop (Cropping1 (None, 1074, 512) 0 ['add_6[0][0]'] D) add_7 (Add) (None, 1074, 512) 0 ['wo_bias_bpnet_8conv[0][0]', 'wo_bias_bpnet_8crop[0][0]'] wo_bias_bpnet_prof_out_precrop (None, 1000, 1) 38401 ['add_7[0][0]'] (Conv1D) wo_bias_bpnet_logitt_before_fl (None, 1000, 1) 0 ['wo_bias_bpnet_prof_out_precrop[ atten (Cropping1D) 0][0]'] gap (GlobalAveragePooling1D) (None, 512) 0 ['add_7[0][0]'] wo_bias_bpnet_logits_profile_p (None, 1000) 0 ['wo_bias_bpnet_logitt_before_fla redictions (Flatten) tten[0][0]'] wo_bias_bpnet_logcount_predict (None, 1) 513 ['gap[0][0]'] ions (Dense) ================================================================================================== Total params: 6,377,986 Trainable params: 6,377,986 Non-trainable params: 0 __________________________________________________________________________________________________ inferred model inputlen: 2114 Seqs dimension : (30000, 2114, 4) Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: StopGradient used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Generating 'profile' shap scores Done 0 examples of 30000 Done 100 examples of 30000 Done 200 examples of 30000 Done 300 examples of 30000 Done 400 examples of 30000 Done 500 examples of 30000 Done 600 examples of 30000 Done 700 examples of 30000 Done 800 examples of 30000 Done 900 examples of 30000 Done 1000 examples of 30000 Done 1100 examples of 30000 Done 1200 examples of 30000 Done 1300 examples of 30000 Done 1400 examples of 30000 Done 1500 examples of 30000 Done 1600 examples of 30000 Done 1700 examples of 30000 Done 1800 examples of 30000 Done 1900 examples of 30000 Done 2000 examples of 30000 Done 2100 examples of 30000 Done 2200 examples of 30000 Done 2300 examples of 30000 Done 2400 examples of 30000 Done 2500 examples of 30000 Done 2600 examples of 30000 Done 2700 examples of 30000 Done 2800 examples of 30000 Done 2900 examples of 30000 Done 3000 examples of 30000 Done 3100 examples of 30000 Done 3200 examples of 30000 Done 3300 examples of 30000 Done 3400 examples of 30000 Done 3500 examples of 30000 Done 3600 examples of 30000 Done 3700 examples of 30000 Done 3800 examples of 30000 Done 3900 examples of 30000 Done 4000 examples of 30000 Done 4100 examples of 30000 Done 4200 examples of 30000 Done 4300 examples of 30000 Done 4400 examples of 30000 Done 4500 examples of 30000 Done 4600 examples of 30000 Done 4700 examples of 30000 Done 4800 examples of 30000 Done 4900 examples of 30000 Done 5000 examples of 30000 Done 5100 examples of 30000 Done 5200 examples of 30000 Done 5300 examples of 30000 Done 5400 examples of 30000 Done 5500 examples of 30000 Done 5600 examples of 30000 Done 5700 examples of 30000 Done 5800 examples of 30000 Done 5900 examples of 30000 Done 6000 examples of 30000 Done 6100 examples of 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examples of 30000 Done 9800 examples of 30000 Done 9900 examples of 30000 Done 10000 examples of 30000 Done 10100 examples of 30000 Done 10200 examples of 30000 Done 10300 examples of 30000 Done 10400 examples of 30000 Done 10500 examples of 30000 Done 10600 examples of 30000 Done 10700 examples of 30000 Done 10800 examples of 30000 Done 10900 examples of 30000 Done 11000 examples of 30000 Done 11100 examples of 30000 Done 11200 examples of 30000 Done 11300 examples of 30000 Done 11400 examples of 30000 Done 11500 examples of 30000 Done 11600 examples of 30000 Done 11700 examples of 30000 Done 11800 examples of 30000 Done 11900 examples of 30000 Done 12000 examples of 30000 Done 12100 examples of 30000 Done 12200 examples of 30000 Done 12300 examples of 30000 Done 12400 examples of 30000 Done 12500 examples of 30000 Done 12600 examples of 30000 Done 12700 examples of 30000 Done 12800 examples of 30000 Done 12900 examples of 30000 Done 13000 examples of 30000 Done 13100 examples of 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16600 examples of 30000 Done 16700 examples of 30000 Done 16800 examples of 30000 Done 16900 examples of 30000 Done 17000 examples of 30000 Done 17100 examples of 30000 Done 17200 examples of 30000 Done 17300 examples of 30000 Done 17400 examples of 30000 Done 17500 examples of 30000 Done 17600 examples of 30000 Done 17700 examples of 30000 Done 17800 examples of 30000 Done 17900 examples of 30000 Done 18000 examples of 30000 Done 18100 examples of 30000 Done 18200 examples of 30000 Done 18300 examples of 30000 Done 18400 examples of 30000 Done 18500 examples of 30000 Done 18600 examples of 30000 Done 18700 examples of 30000 Done 18800 examples of 30000 Done 18900 examples of 30000 Done 19000 examples of 30000 Done 19100 examples of 30000 Done 19200 examples of 30000 Done 19300 examples of 30000 Done 19400 examples of 30000 Done 19500 examples of 30000 Done 19600 examples of 30000 Done 19700 examples of 30000 Done 19800 examples of 30000 Done 19900 examples of 30000 Done 20000 examples of 30000 Done 20100 examples of 30000 Done 20200 examples of 30000 Done 20300 examples of 30000 Done 20400 examples of 30000 Done 20500 examples of 30000 Done 20600 examples of 30000 Done 20700 examples of 30000 Done 20800 examples of 30000 Done 20900 examples of 30000 Done 21000 examples of 30000 Done 21100 examples of 30000 Done 21200 examples of 30000 Done 21300 examples of 30000 Done 21400 examples of 30000 Done 21500 examples of 30000 Done 21600 examples of 30000 Done 21700 examples of 30000 Done 21800 examples of 30000 Done 21900 examples of 30000 Done 22000 examples of 30000 Done 22100 examples of 30000 Done 22200 examples of 30000 Done 22300 examples of 30000 Done 22400 examples of 30000 Done 22500 examples of 30000 Done 22600 examples of 30000 Done 22700 examples of 30000 Done 22800 examples of 30000 Done 22900 examples of 30000 Done 23000 examples of 30000 Done 23100 examples of 30000 Done 23200 examples of 30000 Done 23300 examples of 30000 Done 23400 examples of 30000 Done 23500 examples of 30000 Done 23600 examples of 30000 Done 23700 examples of 30000 Done 23800 examples of 30000 Done 23900 examples of 30000 Done 24000 examples of 30000 Done 24100 examples of 30000 Done 24200 examples of 30000 Done 24300 examples of 30000 Done 24400 examples of 30000 Done 24500 examples of 30000 Done 24600 examples of 30000 Done 24700 examples of 30000 Done 24800 examples of 30000 Done 24900 examples of 30000 Done 25000 examples of 30000 Done 25100 examples of 30000 Done 25200 examples of 30000 Done 25300 examples of 30000 Done 25400 examples of 30000 Done 25500 examples of 30000 Done 25600 examples of 30000 Done 25700 examples of 30000 Done 25800 examples of 30000 Done 25900 examples of 30000 Done 26000 examples of 30000 Done 26100 examples of 30000 Done 26200 examples of 30000 Done 26300 examples of 30000 Done 26400 examples of 30000 Done 26500 examples of 30000 Done 26600 examples of 30000 Done 26700 examples of 30000 Done 26800 examples of 30000 Done 26900 examples of 30000 Done 27000 examples of 30000 Done 27100 examples of 30000 Done 27200 examples of 30000 Done 27300 examples of 30000 Done 27400 examples of 30000 Done 27500 examples of 30000 Done 27600 examples of 30000 Done 27700 examples of 30000 Done 27800 examples of 30000 Done 27900 examples of 30000 Done 28000 examples of 30000 Done 28100 examples of 30000 Done 28200 examples of 30000 Done 28300 examples of 30000 Done 28400 examples of 30000 Done 28500 examples of 30000 Done 28600 examples of 30000 Done 28700 examples of 30000 Done 28800 examples of 30000 Done 28900 examples of 30000 Done 29000 examples of 30000 Done 29100 examples of 30000 Done 29200 examples of 30000 Done 29300 examples of 30000 Done 29400 examples of 30000 Done 29500 examples of 30000 Done 29600 examples of 30000 Done 29700 examples of 30000 Done 29800 examples of 30000 Done 29900 examples of 30000 Saving 'profile' scores